Deep-learning convolutional neural networks with transfer learning accurately classify COVID-19 lung infection on portable chest radiographs

PeerJ
S. KikkisettiTim Q Duong

Abstract

Portable chest X-ray (pCXR) has become an indispensable tool in the management of Coronavirus Disease 2019 (COVID-19) lung infection. This study employed deep-learning convolutional neural networks to classify COVID-19 lung infections on pCXR from normal and related lung infections to potentially enable more timely and accurate diagnosis. This retrospect study employed deep-learning convolutional neural network (CNN) with transfer learning to classify based on pCXRs COVID-19 pneumonia (N = 455) on pCXR from normal (N = 532), bacterial pneumonia (N = 492), and non-COVID viral pneumonia (N = 552). The data was randomly split into 75% training and 25% testing, randomly. A five-fold cross-validation was used for the testing set separately. Performance was evaluated using receiver-operating curve analysis. Comparison was made with CNN operated on the whole pCXR and segmented lungs. CNN accurately classified COVID-19 pCXR from those of normal, bacterial pneumonia, and non-COVID-19 viral pneumonia patients in a multiclass model. The overall sensitivity, specificity, accuracy, and AUC were 0.79, 0.93, and 0.79, 0.85 respectively (whole pCXR), and were 0.91, 0.93, 0.88, and 0.89 (CXR of segmented lung). The performance was generally bet...Continue Reading

References

May 29, 2015·Nature·Yann LeCunGeoffrey Hinton
Jun 15, 2018·Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc·Babak Ehteshami BejnordiMark E Sherman
Aug 11, 2018·International Journal of Computer Assisted Radiology and Surgery·Michał ByraAndrzej Nowicki
Jan 19, 2019·International Journal of Environmental Research and Public Health·Seok-Jae HeoJin-Ha Yoon
Jan 18, 2020·Journal of Medical Virology·Hongzhou LuYi-Wei Tang
Jan 19, 2020·International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases·David S HuiEskild Petersen
Jan 30, 2020·The New England Journal of Medicine·Qun LiZijian Feng
Feb 1, 2020·The New England Journal of Medicine·Michelle L HolshueUNKNOWN Washington State 2019-nCoV Case Investigation Team
Feb 20, 2020·Radiology·Yicheng FangWenbin Ji
Feb 29, 2020·European Journal of Nuclear Medicine and Molecular Imaging·Xi XuJinxin Liu
Mar 12, 2020·JAMA : the Journal of the American Medical Association·Wenling WangWenjie Tan
Mar 14, 2020·Expert Review of Respiratory Medicine·Evgeni MekovRosen Petkov
Mar 15, 2020·Biochemical and Biophysical Research Communications·Jiantao SongMei Zhang
Mar 25, 2020·Journal of Thoracic Imaging·Brian HurtAlbert Hsiao
Apr 5, 2020·Journal of Clinical Microbiology·Yi-Wei TangCharles W Stratton
Apr 14, 2020·Journal of the American College of Radiology : JACR·Cuiping BaoJun Liu
May 24, 2020·Computer Methods and Programs in Biomedicine·Rodolfo M PereiraYandre M G Costa
Jun 12, 2020·Physical and Engineering Sciences in Medicine·Ioannis D Apostolopoulos, Tzani A Mpesiana
Jun 23, 2020·Computers in Biology and Medicine·Tulin OzturkU Rajendra Acharya
Jun 27, 2020·PloS One·Mohamed Abd ElazizAhmed T Sahlol
Aug 25, 2020·Journal of the American College of Emergency Physicians Open·Jocelyn S ZhuTim Q Duong
Aug 31, 2020·Curēus·Joseph Paul CohenTim Q Duong

❮ Previous
Next ❯

Citations

Aug 28, 2021·Diagnostics·Mohd Asyraf ZulkifleyMohamad Ibrani Shahrimin

❮ Previous
Next ❯

Methods Mentioned

BETA
X-ray

Software Mentioned

VGG16
pCXR
CNN

Related Concepts

Related Feeds

Bacterial Pneumonia (ASM)

Bacterial pneumonia is a prevalent and costly infection that is a significant cause of morbidity and mortality in patients of all ages. Here is the latest research.

Bacterial Pneumonia

Bacterial pneumonia is a prevalent and costly infection that is a significant cause of morbidity and mortality in patients of all ages. Here is the latest research.