Open AccessMachine Learning Model Applied on Chest X-Ray Images Enables Automatic Detection of COVID-19 Cases with High Accuracy
Author(s) -
Yabsera Erdaw,
Erdaw Tachbele
Publication year - 2021
Publication title -
international journal of general medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.722
H-Index - 36
ISSN - 1178-7074
DOI - 10.2147/ijgm.s325609
Subject(s) - artificial intelligence , support vector machine , covid-19 , medicine , binary classification , receiver operating characteristic , pneumonia , pattern recognition (psychology) , classifier (uml) , sensitivity (control systems) , cross validation , machine learning , computer science , pathology , infectious disease (medical specialty) , disease , electronic engineering , engineering
This research was designed to investigate the application of artificial intelligence (AI) in the rapid and accurate diagnosis of coronavirus disease 2019 (COVID-19) using digital chest X-ray images, and to develop a robust computer-aided application for the automatic classification of COVID-19 pneumonia from other pneumonia and normal images.