This paper is in the following e-collection/theme issue:

New Methods (1037) Digital Health Reviews (1565) Clinical Information and Decision Making (1695) Machine Learning (1780)

Published on in Vol 20, No 10 (2018): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11936, first published .
Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review

Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review

Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review

Authors of this article:

Titus Josef Brinker1, 2 Author Orcid Image ;   Achim Hekler1 Author Orcid Image ;   Jochen Sven Utikal3, 4 Author Orcid Image ;   Niels Grabe5 Author Orcid Image ;   Dirk Schadendorf6 Author Orcid Image ;   Joachim Klode6 Author Orcid Image ;   Carola Berking7 Author Orcid Image ;   Theresa Steeb7 Author Orcid Image ;   Alexander H Enk2 Author Orcid Image ;   Christof von Kalle1 Author Orcid Image
Article Authors Cited by (341) Tweetations (16) Metrics

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  108. Park S, Chien A, Lin B, Li K. FACES: A Deep-Learning-Based Parametric Model to Improve Rosacea Diagnoses. Applied Sciences 2023;13(2):970 View
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  143. Naguib S, Hamza H, Hosny K, Saleh M, Kassem M. Classification of Cervical Spine Fracture and Dislocation Using Refined Pre-Trained Deep Model and Saliency Map. Diagnostics 2023;13(7):1273 View
  144. To H, Nguyen H, Le H, Le H, Quan T. MetaAttention model: a new approach for skin lesion diagnosis using AB features and attention mechanism. Biomedical Physics & Engineering Express 2023;9(4):045008 View
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  151. Zhang L, Xu R, Zhao J. Learning technology for detection and grading of cancer tissue using tumour ultrasound images. Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics 2024;32(1):157 View
  152. Shafi N, Costantine J, Kanj R, Tawk Y, Ramadan A, Kurban M, Rahal J, Eid A. A Portable Non-Invasive Electromagnetic Lesion-Optimized Sensing Device for the Diagnosis of Skin Cancer (SkanMD). IEEE Transactions on Biomedical Circuits and Systems 2023;17(3):558 View
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  154. DİMİLİLER K, SEKEROGLU B. Skin Lesion Classification Using CNN-based Transfer Learning Model. Gazi University Journal of Science 2023;36(2):660 View
  155. Ogundokun R, Li A, Babatunde R, Umezuruike C, Sadiku P, Abdulahi A, Babatunde A. Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models. Bioengineering 2023;10(8):979 View
  156. AlSuwaidan L. Deep Learning Based Classification of Dermatological Disorders. Biomedical Engineering and Computational Biology 2023;14 View
  157. Singareddy S, SN V, Jaramillo A, Yasir M, Iyer N, Hussein S, Nath T. Artificial Intelligence and Its Role in the Management of Chronic Medical Conditions: A Systematic Review. Cureus 2023 View
  158. Ajuwon B, Awotundun O, Richardson A, Roper K, Sheel M, Rahman N, Salako A, Lidbury B. Machine learning prediction models for clinical management of blood-borne viral infections: a systematic review of current applications and future impact. International Journal of Medical Informatics 2023;179:105244 View
  159. Rostamzadeh-Renani R, Jasim D, Baghoolizadeh M, Rostamzadeh-Renani M, Andani H, Salahshour S, Baghaei S. Multi-objective optimization of rheological behavior of nanofluids containing CuO nanoparticles by NSGA II, MOPSO, and MOGWO evolutionary algorithms and group method of data handling artificial neural networks. Materials Today Communications 2024;38:107709 View
  160. Fernandes J, Teles A, Fernandes T, Lima L, Balhara S, Gupta N, Teixeira S. Artificial Intelligence on Diagnostic Aid of Leprosy: A Systematic Literature Review. Journal of Clinical Medicine 2023;13(1):180 View
  161. Lv J, Zhang R, Gu Q, Hemayet Uddin M, Jiang X, Qi J, Si G, Ou Q. Metasurfaces and their intelligent advances. Materials & Design 2024;237:112610 View
  162. Shakeel C, Khan S. Machine learning (ML) techniques as effective methods for evaluating hair and skin assessments: A systematic review. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 2024;238(2):132 View
  163. Hossain M, Hossain M, Arefin M, Akhtar F, Blake J. Combining State-of-the-Art Pre-Trained Deep Learning Models: A Noble Approach for Skin Cancer Detection Using Max Voting Ensemble. Diagnostics 2023;14(1):89 View
  164. Keskenler M, Çelik E, Dal D. A New Multi-Layer Machine Learning (MLML) Architecture for Non-invasive Skin Cancer Diagnosis on Dermoscopic Images. Journal of Electrical Engineering & Technology 2024;19(4):2739 View
  165. Benzyane M, Azrour M, Zeroual I, Agoujil S. Investigating the Influence of Convolutional Operations on LSTM Networks in Video Classification. Data and Metadata 2023;2:152 View
  166. M T, Koti M, B.A N, V G, K.P S, Mathivanan S, Dalu G. Lung cancer diagnosis based on weighted convolutional neural network using gene data expression. Scientific Reports 2024;14(1) View
  167. Rostamzadeh-Renani M, Baghoolizadeh M, Sajadi S, Rostamzadeh-Renani R, Azarkhavarani N, Salahshour S, Toghraie D. A multi-objective and CFD based optimization of roof-flap geometry and position for simultaneous drag and lift reduction. Propulsion and Power Research 2024 View
  168. Maneesha A, Anusha K, Kalyani B, Satyanarayana K, Bobba P, Perveen A, Debnath S. Adaptive dermascopy application using machine learning. MATEC Web of Conferences 2024;392:01159 View
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  171. Remya S, Anjali T, Sugumaran V. A Novel Transfer Learning Framework for Multimodal Skin Lesion Analysis. IEEE Access 2024;12:50738 View
  172. Uranbey Ö, Özbey F, Kaygısız Ö, Ayrancı F. Assessing ChatGPT's Diagnostic Accuracy and Therapeutic Strategies in Oral Pathologies: A Cross-Sectional Study. Cureus 2024 View
  173. Zaway L, Ben Amor N, Ktari J, Jallouli M, Chrifi Alaoui L, Delahoche L. Optimization of Wheelchair Control via Multi-Modal Integration: Combining Webcam and EEG. Future Internet 2024;16(5):158 View
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  175. Heo E, Park C, Chang K, Shim J, Seo S, Kim D, Cho S, Kim C, Lee N, Lee S. Analytic validation of convolutional neural network-based classification of pigmented skin lesions (PSLs) using unseen PSL hyperspectral data for clinical applications. Journal of the Korean Physical Society 2024;84(11):889 View
  176. Jin W, Basem A, Baghoolizadeh M, Kamoon S, Al-Yasiri M, Salahshour S, Hekmatifar M. Regression modeling and multi-objective optimization of rheological behavior of non-Newtonian hybrid antifreeze: Using different neural networks and evolutionary algorithms. International Communications in Heat and Mass Transfer 2024;155:107578 View
  177. Salinas M, Sepúlveda J, Hidalgo L, Peirano D, Morel M, Uribe P, Rotemberg V, Briones J, Mery D, Navarrete-Dechent C. A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis. npj Digital Medicine 2024;7(1) View
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  179. Shukla M, Tripathi B, Dwivedi T, Tripathi A, Chaurasia B. A hybrid CNN with transfer learning for skin cancer disease detection. Medical & Biological Engineering & Computing 2024;62(10):3057 View
  180. Cataldo A, Cino L, Distante C, Maietta G, Masciullo A, Mazzeo P, Schiavoni R. Integrating microwave reflectometry and deep learning imaging for in-vivo skin cancer diagnostics. Measurement 2024;235:114911 View
  181. Spiesman B, Gratton C, Gratton E, Hines H, Cini A. Deep learning for identifying bee species from images of wings and pinned specimens. PLOS ONE 2024;19(5):e0303383 View
  182. Escalé-Besa A, Vidal-Alaball J, Miró Catalina Q, Gracia V, Marin-Gomez F, Fuster-Casanovas A. The Use of Artificial Intelligence for Skin Disease Diagnosis in Primary Care Settings: A Systematic Review. Healthcare 2024;12(12):1192 View
  183. Nielsen J, Kristiansen I, Thapa S. Increasing melanoma incidence with unchanged mortality: more sunshine, better treatment, increased diagnostic activity, overdiagnosis or lowered diagnostic threshold?. British Journal of Dermatology 2024;191(3):365 View
  184. Pradhan J, Singh A, Kumar A, Khan M. Skin lesion classification using modified deep and multi-directional invariant handcrafted features. Journal of Network and Computer Applications 2024;231:103949 View
  185. Natha P, RajaRajeswari P. Advancing Skin Cancer Prediction Using Ensemble Models. Computers 2024;13(7):157 View
  186. Raman R, Pattnaik D, Hughes L, Nedungadi P. Unveiling the dynamics of AI applications: A review of reviews using scientometrics and BERTopic modeling. Journal of Innovation & Knowledge 2024;9(3):100517 View
  187. Ye Z, Zhang D, Zhao Y, Chen M, Wang H, Seery S, Qu Y, Xue P, Jiang Y. Deep learning algorithms for melanoma detection using dermoscopic images: A systematic review and meta-analysis. Artificial Intelligence in Medicine 2024;155:102934 View
  188. Winkler J, Kommoss K, Vollmer A, Blum A, Stolz W, Kränke T, Hofmann-Wellenhof R, Enk A, Toberer F, Haenssle H. Computerizing the first step of the two-step algorithm in dermoscopy: A convolutional neural network for differentiating melanocytic from non-melanocytic skin lesions. European Journal of Cancer 2024;210:114297 View
  189. Philipp W, Yashwanthika R, Sikha O, Benitez R. Generation of Rule-Based Explanations of CNN Classifiers Using Regional Features. Neural Processing Letters 2024;56(5) View
  190. Soni U, Gupta J, Singh K, Khandelwal G. Screening and Analysis of Skin Cancer Treatment Using Biocomponents of Plants Using Backpropagation Neural Networks: A Comprehensive Review. Current Cancer Therapy Reviews 2024;20(6):555 View
  191. Jütte L, González-Villà S, Quintana J, Steven M, Garcia R, Roth B. Integrating generative AI with ABCDE rule analysis for enhanced skin cancer diagnosis, dermatologist training and patient education. Frontiers in Medicine 2024;11 View
  192. Li Q, Zhang Y, Wang L, Zhang H, Wang P, Gu M, Xu S. Lightweight skin cancer detection IP hardware implementation using cycle expansion and optimal computation arrays methods. Computers in Biology and Medicine 2024;183:109258 View
  193. Mavaddati S. Skin cancer classification based on a hybrid deep model and long short-term memory. Biomedical Signal Processing and Control 2025;100:107109 View
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  195. İsmail Mendi B, Kose K, Fleshner L, Adam R, Safai B, Farabi B, Atak M. Artificial Intelligence in the Non-Invasive Detection of Melanoma. Life 2024;14(12):1602 View
  196. Pious I, Srinivasan R. Segnet unveiled: Robust image segmentation via rigorous K-fold cross-validation analysis. Technology and Health Care 2025;33(2):863 View
  197. Hassan S, Abdulkadir S, Zahid M, Al-Selwi S. Local interpretable model-agnostic explanation approach for medical imaging analysis: A systematic literature review. Computers in Biology and Medicine 2025;185:109569 View
  198. Noaman A, Ahmad R, Khan M, Mohammed A, Farooq M, Adnan K. Beyond binary: multi-class skin lesion classification with AlexNet transfer learning-towards enhanced dermatological diagnosis. Discover Applied Sciences 2024;7(1) View
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Books/Policy Documents

  1. Singh N, Kaur A. Interdisciplinary Approaches to Altering Neurodevelopmental Disorders. View
  2. Martorell-Marugán J, Tabik S, Benhammou Y, del Val C, Zwir I, Herrera F, Carmona-Sáez P. Computational Biology. View
  3. El-khatib H, Popescu D, Ichim L. Advances in Computational Intelligence. View
  4. Young K, Booth G, Simpson B, Dutton R, Shrapnel S. Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support. View
  5. Sivasubramanian K, Xing L. LED-Based Photoacoustic Imaging. View
  6. Aldwgeri A, Abubacker N. Advances in Visual Informatics. View
  7. Janoria H, Minj J, Patre P. Intelligent Data Communication Technologies and Internet of Things. View
  8. Iglesias-Puzas Á, Boixeda P. Photography in Clinical Medicine. View
  9. Dwivedi P, Sandhu S, Zeeshan M, Sarkar P. Soft Computing Techniques and Applications. View
  10. Mehra A, Bhati A, Kumar A, Malhotra R. Emerging Technologies in Data Mining and Information Security. View
  11. Dutta A, Kamrul Hasan M, Ahmad M. Proceedings of International Joint Conference on Advances in Computational Intelligence. View
  12. Gao Y, Tang Z, Zhou M, Metaxas D. Information Processing in Medical Imaging. View
  13. Das T, Kumar V, Prakash A, Lynn A. Skin Cancer: Pathogenesis and Diagnosis. View
  14. Nunnari F, Kadir M, Sonntag D. Machine Learning and Knowledge Extraction. View
  15. Jaworek-Korjakowska J, Yap M, Bhattacharjee D, Kleczek P, Brodzicki A, Gorgon M. State of the Art in Neural Networks and Their Applications. View
  16. Barbhuiya R, Ahmad N, Akram W. Computational Intelligence in Oncology. View
  17. Biswal P, Saha M, Jaiswal N, Rout M. The New Advanced Society. View
  18. Panigrahi A, Bhutia S, Sahu B, Galety M, Mohanty S. Disruptive Technologies for Big Data and Cloud Applications. View
  19. Orrin E, Cassidy P, Kulkarni R, Berry E, Leachman S. Melanoma in Clinical Practice. View
  20. Chauhan A, Hasija Y. Proceedings of Emerging Trends and Technologies on Intelligent Systems. View
  21. Kortała M, Jaworska T, Ganzha M, Paprzycki M. Big-Data-Analytics in Astronomy, Science, and Engineering. View
  22. Keerthana D, Nath M. Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences. View
  23. Agilandeeswari L, Bansal A, Sasank P, Yasasvi K. Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021). View
  24. Sai Venkatesh C, Meriga C, Geethika M, Lakshmi Gayatri T, Aruna V. High Performance Computing and Networking. View
  25. Pundhir A, Agarwal A, Dadhich S, Raman B. Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging. View
  26. Pike A, Benkli B, Gilani S, Hirani S. Substance Use and Addiction Research. View
  27. Dhiman A, Chauhan N. Proceedings of the International Health Informatics Conference. View
  28. Karpagam G, Keerthna M, Naresh K, Sairam Vaidya M, Karthikeyan T, Mohideen S. Artificial Intelligence for Sustainable Applications. View
  29. Singh C, Nischitha , Shetty S, Bekal A, Bhat S, Badiger M. Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems. View
  30. Deepa Nivethika S. , Srinivasan D, SenthilPandian M. , Paulraj P, Ashokkumar N, Hariharan K. , Maneesh Vijay V. I. , Raghuram T. . Neuromorphic Computing Systems for Industry 4.0. View
  31. Al-Qaisi A, George L. Proceedings of Eighth International Congress on Information and Communication Technology. View
  32. Goindi S, Thakur K, Kapoor D. Advances in IoT and Security with Computational Intelligence. View
  33. Surówka G. Artificial Intelligence and Soft Computing. View
  34. Shashidhara G, Agarwal R, Suryavamshi J. Intelligent Systems and Machine Learning. View
  35. Obaid A, Suman Rajest S, Silvia Priscila S, Shynu T, Ettyem S. Proceedings of Data Analytics and Management. View
  36. Benzyane M, Azrour M, Zeroual I, Agoujil S. Artificial Intelligence, Data Science and Applications. View
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  38. King I, Meng H, Lam T. Artificial Intelligence in Medicine. View
  39. Siddarth C, Poreddy A, Kokil P. Computer Vision and Image Processing. View
  40. Dhage S, Chawan H, Hoskote A, Dabholkar A, Deshmukh V. Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation. View
  41. Borghesi A, Calegari R. AI for Health Equity and Fairness. View
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Conference Proceedings

  1. Lynn N, War N. 2019 International Conference on Advanced Information Technologies (ICAIT). Melanoma Classification on Dermoscopy Skin Images using Bag Tree Ensemble Classifier View
  2. Goswami T, Dabhi V, Prajapati H. 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS). Skin Disease Classification from Image - A Survey View
  3. Jaworek-Korjakowska J, Kleczek P, Gorgon M. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Melanoma Thickness Prediction Based on Convolutional Neural Network With VGG-19 Model Transfer Learning View
  4. Chabi Adjobo E, Sanda Mahama A, Gouton P, Tossa J. 2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). Proposition of Convolutional Neural Network Based System for Skin Cancer Detection View
  5. Moldovan D. 2019 E-Health and Bioengineering Conference (EHB). Transfer Learning Based Method for Two-Step Skin Cancer Images Classification View
  6. Bolocko K, Bliznuks D, Uteshev D, Lihacova I, Lihachev A, Chizhov Y, Bondarenko A, Dehghani H, Wabnitz H. Diffuse Optical Spectroscopy and Imaging VII. Towards to deep neural network application with limited training data: synthesis of melanoma's diffuse reflectance spectral images View
  7. Yang T, Syu H, Wu I, Wang H, Suter M, Tearney G, Wang T. Endoscopic Microscopy XV. Identification of early cancerous lesion of esophagus with endoscopic images by convolutional neural network View
  8. Layode O, Alam T, Rahman M. 2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). Deep Learning Based Integrated Classification and Image Retrieval System for Early Skin Cancer Detection View
  9. Prasad R, Kumar Singh G, Prasad S, Prasad V. 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). Unique Color Circle Design For A Novel Screening Tool to Identify Cancerous Skin Lesions View
  10. Emara T, Afify H, Ismail F, Hassanien A. 2019 14th International Conference on Computer Engineering and Systems (ICCES). A Modified Inception-v4 for Imbalanced Skin Cancer Classification Dataset View
  11. Santos F, Silva F, Georgieva P. 2020 IEEE 10th International Conference on Intelligent Systems (IS). Automated Diagnosis of Skin Lesions View
  12. Castro P, Krohling B, Pacheco A, Krohling R. 2020 International Joint Conference on Neural Networks (IJCNN). An app to detect melanoma using deep learning: An approach to handle imbalanced data based on evolutionary algorithms View
  13. Pham T, Hoang V, Tran C, Luu M, Mai D, Doucet A, Luong C. 2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). Improving binary skin cancer classification based on best model selection method combined with optimizing full connected layers of Deep CNN View
  14. Akash Kumar V, Mishra V, Arora M. 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). Convolutional Neural Networks for Malignant and Benign Cell Classification using Dermatoscopic Images View
  15. Kochetov K, Filchenkov A. 2020 International Conference on Control, Robotics and Intelligent System. Generative Adversarial Networks for Respiratory Sound Augmentation View
  16. Mahbod A, Schaefer G, Wang C, Ecker R, Dorffner G, Ellinger I. 2020 25th International Conference on Pattern Recognition (ICPR). Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification View
  17. Kumari A, Sharma N. 2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC). A Review on Convolutional Neural Networks for Skin Lesion Classification View
  18. O'Keefe W, Ide B, Al-Khassaweneh M, Abuomar O, Szczurek P. 2021 International Conference on Information Technology (ICIT). A CNN Approach for Skin Cancer Classification View
  19. Goceri E. 2021 44th International Conference on Telecommunications and Signal Processing (TSP). Automated Skin Cancer Detection: Where We Are and The Way to The Future View
  20. Soyuslu N, Durusoy Y, Kucukoner M. 2021 Innovations in Intelligent Systems and Applications Conference (ASYU). A new approach to skin lesion classification with EnTransfer CNN View
  21. Liu Y, Fang K, Yang E, Zhao S, Liu S, He R. 2022 16th IEEE International Conference on Signal Processing (ICSP). Lost-Found Item Net for Classification Based on Inception-Resnet View
  22. Setyawan D, Wardoyo R, Wibowo M, Herdiana Murhandarwati E, Jamilah J. 2021 Sixth International Conference on Informatics and Computing (ICIC). Malaria Classification Using Convolutional Neural Network: A Review View
  23. Tanna R, Sharma T. 2021 International Conference on Artificial Intelligence and Machine Vision (AIMV). Binary Classification of Melanoma Skin Cancer using SVM and CNN View
  24. Chen P, Gao T, Jiang Z, Wang Z, Qin W. Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering. A new application in cancer diagnosis based on convolutional neural network View
  25. Pundhir A, Dadhich S, Agarwal A, Raman B. 2022 26th International Conference on Pattern Recognition (ICPR). Towards Improved Skin Lesion Classification using Metadata Supervision View
  26. Chin C, Binti Awang Mat D, Saleh A. 2021 4th International Conference on Robot Systems and Applications. Skin Cancer Classification using Convolutional Neural Network with Autoregressive Integrated Moving Average View
  27. Bhargavi S, Sowmya V, Syama S, S L. 2022 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON). Skin cancer detection using Machine Learning View
  28. Nanthini N, Aishwarya D, Simon A, Baby Vishnupriya N. 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC). Detection of Melanoma Skin Cancer using Deep Learning View
  29. S R, S H, Jayasakthi K, A S, Latha K, Gopinath N. 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT). Cosmetic Product Selection Using Machine Learning View
  30. Thungprue N, Tamronganunsakul N, Hongchukiat M, Sumetpipat K, Leeboonngam T. 2022 14th Biomedical Engineering International Conference (BMEiCON). Using Semi-supervised Transfer Learning for Classification of Solar Lentigo, Lentigo Maligna, and Lentigo Maligna Melanoma View
  31. Janoria H, Minj J, Patre P. 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA). Classification of Skin Disease from Skin images using Transfer Learning Technique View
  32. Li L, Seo W. 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE). Deep Learning and Transfer Learning for Skin Cancer Segmentation and Classification View
  33. Prasad R, Prasad V. 2022 International Conference for Advancement in Technology (ICONAT). Template-based Identification of Malignant and Non-malignant Skin-lesions to Minimize Biopsy Load Using Saturation Counts (HSV space) and Absolute Dark Area parameters: Experiments on ISIC Images View
  34. Liu J. 2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI). VGG, MobileNet and AlexNet on Recognizing Skin Cancer Symptoms View
  35. Janthakal S, Hosalli G. 2022 IEEE 7th International conference for Convergence in Technology (I2CT). A Survey on Automated Skin Lesion Segmentation and Classification of Granular Parakeratosis View
  36. Meva H, Popescu D, Ichim L. 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). Melanoma Detection Using Two Neural Networks. A Comparison Study View
  37. Afroz A, Zia R, Garcia A, Khan M, Jilani U, Ahmed K. 2022 Global Conference on Wireless and Optical Technologies (GCWOT). Skin lesion classification using machine learning approach: A survey View
  38. Sabuncu O, Bilgehan B. 2021 International Conference on Forthcoming Networks and Sustainability in AIoT Era (FoNeS-AIoT). Performance Evaluation for Various Deep Learning (DL) Methods Applied to Kidney Stone Diseases View
  39. Kavitha P, Jayalakshmi V. 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT). Comparative Study of DNN Models for Skin Cancer Detection View
  40. Nie Y, Ferro M, Sommella P, Carratu M, Cacciapuoti S, Di Leo G, Lundgren J, Fabbrocini G. 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA). Ensembling CNNs for dermoscopic analysis of suspicious skin lesions View
  41. Gu M, Li X, Chen S. 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP). Transfer Learning-Based Intelligent Diagnosis for Skin Lesion in Cloud-Edge Computing Networks View
  42. Prasad R, Prasad V. 2021 International Conference on e-Health and Bioengineering (EHB). Template-based Identification of Non-malignant Skin lesions to Minimize Biopsy: Experiments on Hundred Images from ISIC Archive View
  43. Wan Z, Zhang T. 2021 2nd International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT). Skin Lesions Detection via Convolutional Neural Networks View
  44. Santos F, Silva F, Georgieva P. 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). Transfer Learning for Skin Lesion Classification using Convolutional Neural Networks View
  45. Afroz A, Zia R, Noor S, Garcia A, Shams S, Mughal S. 2023 Global Conference on Wireless and Optical Technologies (GCWOT). Implementation of Convolutional Neural Networks deep learning approach to Classify Melanoma Skin Cancer View
  46. Kaur G, Prabha C, Chhabra D, Kaur N, Veeramanickam M, Gill S. 2022 5th International Conference on Contemporary Computing and Informatics (IC3I). A Systematic Approach to Machine Learning for Cancer Classification View
  47. Aaqib M, Ghani M, Khan A. 2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET). Deep Learning-Based Identification of Skin Cancer on Any Suspicious Lesion View
  48. Upadhyay R, Pund S, Vendan V, Ramya N, Parab M, Rajeswari R. 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). Comparing the different Classifier Algorithm to Skin Cancer with more accuracy View
  49. G P S, Akshaya M, Salim A, Sarfaraz M, Kathiravan M, Singh Pundir A. 2023 4th International Conference on Smart Electronics and Communication (ICOSEC). An Intelligent Method for Predicting Skin Disease Using OM-Extreme Learning Machine View
  50. Fariza A, Muliawati T, Wibowo M, Setiowati Y. 2023 International Electronics Symposium (IES). Mobile Application for Early Screening of Skin Cancer Using Dermoscopy Image Data Based on Convolutional Neural Network View
  51. Sunil Kumar P, Sundaresan P, Logith R, Mathivanan N. 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS). Skin Disease Detection based on Image Processing Technique View
  52. Mageed A, Abdel Aziz S, El-Sayed A, Abdelhamid T. 2023 3rd International Conference on Electronic Engineering (ICEEM). A Comparative Study for Skin Cancer Optimization Based on Deep Learning Techniques View
  53. N S, Hussain A, Al-Jumeily D, Mahmmod B, Abdulhussain S. 2023 15th International Conference on Developments in eSystems Engineering (DeSE). Deep Learning-Based Skin Cancer Identification View
  54. Patil S, Patil H. 2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE). Modified CNNs for Automated Binary Classification of Skin Lesions: Benign vs.Malignant View
  55. Fitroh Q, Uyun S. 2023 11th International Conference on Cyber and IT Service Management (CITSM). Hybrid Convolutional Neural Network and Support Vector Machine Based on Model Optimization for Skin Cancer Classification View
  56. Saini A, Guleria K, Sharma S. 2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS). Skin Cancer Classification Using Transfer Learning-Based Pre-Trained VGG 16 Model View
  57. Lankadasu N, Pesarlanka D, Sharma A, Sharma S, Gochhait S. 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS). Skin Cancer Classification Using a Convolutional Neural Network: An Exploration into Deep Learning View
  58. ElHabebe M, ElKordi S, ElDin A, Adly N, Torki M, Elmassry A, Ahmed I. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). DR10K: Transfer Learning Using Weak Labels for Grading Diabetic Retinopathy on DR10K Dataset View
  59. Kaushik P, Chopra Y, Kajla A, Poonia M, Khan A, Yadav D. 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). AI-Powered Dermatology: Achieving Dermatologist-Grade Skin Cancer Classification View
  60. Goel A, Neduncheliyan S. 2023 IEEE Engineering Informatics. Evaluating the Efficiency of Deep Learning Models for Personalized Healthcare View
  61. N S, C J, RR R, I G. 2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI). Analysis of GAN for Melanoma Skin CancerClassification with Dermatologist Recommendation View
  62. Ahmed T, Mou F, Hossain A. 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE). SCCNet: An Improved Multi-Class Skin Cancer Classification Network using Deep Learning View
  63. Shilpa S, Devaraj Verma C. 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC). Cloud-based Deep Learning Model for Classifying Skin Cancer View
  64. Butto S, Bibi K. 2024 Second International Conference on Data Science and Information System (ICDSIS). Feature Selection Method Based on Dimensionality Reduction and Genetic Algorithm for Detecting Colon Cancer View
  65. Goindi S, Thakur K, Singh Kapoor D. 2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL). A Comparative Analysis of Machine Learning and Deep Learning Algorithms for Skin Cancer Detection and Classification: Exploring Performance Across Multiple Parameters View
  66. Arthi B, Rakwar H, Saha S. 4TH INTERNATIONAL CONFERENCE ON INTERNET OF THINGS 2023: ICIoT2023. Skin cancer classifier with implementation of blockchain for storing your medical records View
  67. Elbedoui K, Mzoughi H, Slima M. 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP). Deep Learning Approaches for Dermoscopic Image-Based Skin Cancer Diagnosis View
  68. Mir T, Anand V, Gupta S, Upadhyay D, Rawat R. 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC). A Deep Learning Perspective on Skin Cancer Classification: Insights from Convolutional Neural Networks View
  69. Firozi D, Kumar D. 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT). Classification of Skin Cancer Detection using CNN View
  70. Armanda D, Cococi A, Dogaru I, Dogaru R. 2024 E-Health and Bioengineering Conference (EHB). Skin Cancer Detection Using Constrained Neural Networks and the Development of an Optimized Technical Infrastructure for Resource-Efficient Diagnosis View
  71. Kugaraj L, Dassanayake D, Rajendran K. 2024 9th International Conference on Information Technology Research (ICITR). A Machine Learning Framework for Accurate Skin Tone, Type, and Disease Detection with Web Scraping and NLP for Dermatological Insights View
  72. Kalra H, Sunitha B, Aher V, Bhanu D, Saini P, Katyal A. 2024 International Conference on Recent Advances in Science and Engineering Technology (ICRASET). Innovative Machine Learning Framework for Assessing Drug Response in Cancer Treatment View
  73. Nivyashree T, Pramila P. INTERNATIONAL CONFERENCE ON APPLICATION OF ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SOURCES AND ENVIRONMENTAL SUSTAINABILITY. Detection of malignant and Benign skin lesions using the influence of activation function and accuracy analysis in efficientnet b3 compared over convolutional neural network View
  74. R H, Devadhas G, Satheesha T. 2024 5th IEEE Global Conference for Advancement in Technology (GCAT). AI Based Automated Skin lesion Classification for Melanoma Detection Using Deep Learning Techniques View
  75. Chakradhar A, Harsha Y, Sathwika G, Swathi J, Kamal G. 2024 International Conference on Recent Innovation in Smart and Sustainable Technology (ICRISST). Comparitive Analysis Of Deep Learning Techniques For Prediction of Complex Skin Cancer View
  76. Jütte L, González-Villà S, Quintana Plana J, Steven M, Garcia R, Roth B, Rajadhyaksha M, Zeng H. Photonics in Dermatology and Plastic Surgery 2025. Generative AI for enhanced skin cancer diagnosis, dermatologist training, and patient education View
  77. Sapthami I, Srilakshmi C, Saranya B, Kumareshan N, Ayyasamy R, Chinnasamy P. 2024 International BIT Conference (BITCON). Skin Cancer Classification using Machine Learning Techniques View
  78. Dhanalakshmi K, Kumar S, Mishra S, Susitra D, Lalitha R, Dharani V. 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). Classification of Benign and Malignant Skin Lesions using Convolutional Neural Networks (CNN) View
  79. Balachander R, Yohalakshmi G, Kavitha A. 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). Artificial Intelligence in Image Analysis For Dermatology And Dermatopathology: Advancements And Challenges View
  80. Xie H, Zhang Y, Yap M, Wu S. Medical Imaging 2025: Imaging Informatics. Similarity learning model for skin lesions image generation View
  81. Magalhães A, Souza Jr. L, Pacheco A. Anais do XXV Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2025). Evaluating Deep Neural Skin Cancer Classifiers With Multiple Images Inputs View
  82. Y D, V J, T L, A J, Yaashuwanth C, Prathibanandhi K. 2025 International Conference on Computing and Communication Technologies (ICCCT). Detecting Dog Diseases and Emotions Using Deep Learning View