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, Republic of Korea

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

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, Republic of Korea

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

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

6 Department of Radiology, Wonkwang University Hospital, Iksan-si, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Jinseok Lee, PhD
  • Department of Biomedical Engineering
  • Wonkwang University College of Medicine
  • 460 Iksan-daero
  • Iksan-si, 54538
  • Republic of Korea
  • Phone: 82 63-850-5114
  • Email: gonasago@wku.ac.kr