Published on in Vol 22, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19569, first published .
COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation

COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation

COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation

Hoon Ko 1*, MSc;  Heewon Chung 1*, MSc;  Wu Seong Kang 2*, MD, PhD;  Kyung Won Kim 3, MD;  Youngbin Shin 3, MSc;  Seung Ji Kang 4, MD;  Jae Hoon Lee 5, MD;  Young Jun Kim 5, MD;  Nan Yeol Kim 2, MD, PhD;  Hyunseok Jung 6, MD;  Jinseok Lee 1, PhD

1 Department of Biomedical Engineering, Wonkwang University College of Medicine , Iksan-si , KR

2 Department of Trauma Surgery, Wonkwang University Hospital , Iksan-si , KR

3 Department of Radiology and Research Institute of Radiology, Asan Image Metrics, Clinical Trial Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul , KR

4 Department of Internal Medicine, Chonnam National University Medical School , Gwangju-si , KR

5 Department of Internal Medicine, Wonkwang University Hospital , Iksan-si , KR

6 Department of Radiology, Wonkwang University Hospital , Iksan-si , KR

*these authors contributed equally

Corresponding Author:

  • Jinseok Lee, PhD
  • Department of Biomedical Engineering
  • Wonkwang University College of Medicine
  • 460 Iksan-daero
  • Iksan-si
  • KR
  • Phone: 82 63-850-5114
  • Email: gonasago@wku.ac.kr