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

Artificial Intelligence (2129) Imaging Informatics (302) Machine Learning (2076)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18563, first published .
Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation

Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation

Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation

Authors of this article:

Muhammad Owais1 Author Orcid Image ;   Muhammad Arsalan1 Author Orcid Image ;   Tahir Mahmood1 Author Orcid Image ;   Jin Kyu Kang1 Author Orcid Image ;   Kang Ryoung Park1 Author Orcid Image
Article Authors Cited by (23) Tweetations (4) Metrics

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Conference Proceedings

  1. Gandhimathi Alias Usha S, Maheswari P, Priya M, Jeevalakshmi V, Harsha D. 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). Lightweight Deep Learning Model for Wireless Capsule Endoscopy Image Classification Using SqueezeNet View