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