A comprehensive review of analyzing the chest X-ray images to detect COVID-19 infections using deep learning techniques.

ABSTRACT: COVID-19, a highly infectious respiratory disease a used by SARS virus, has killed millions of people across many countries. To enhance quick and accurate diagnosis of COVID-19, chest X-ray (CXR) imaging methods were commonly utilized. Identifying the infection manually by radio imaging, on the other hand, was considered, extremely difficult due to the time commitment and significant risk of human error. Emerging artificial intelligence (AI) techniques promised exploration in the development of precise and as well as automated COVID-19 detection tools. Convolution neural networks (CNN), a well performing deep learning strategy tends to gain substantial favors among AI approaches for COVID-19 classification. The preprints and published studies to diagnose COVID-19 with CXR pictures using CN

SUBMITTER: Subramaniam K 

PROVIDER: S-EPMC10220331 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature