PMC:7782580 / 1078-1327 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"11","span":{"begin":55,"end":63},"obj":"Disease"},{"id":"17","span":{"begin":188,"end":196},"obj":"Disease"},{"id":"18","span":{"begin":197,"end":206},"obj":"Disease"}],"attributes":[{"id":"A11","pred":"tao:has_database_id","subj":"11","obj":"MESH:C000657245"},{"id":"A17","pred":"tao:has_database_id","subj":"17","obj":"MESH:C000657245"},{"id":"A18","pred":"tao:has_database_id","subj":"18","obj":"MESH:D007239"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"esents a potential computer-aided diagnosis method for COVID-19 in clinical practice.\n\nLiang, Gu and other colleagues develop a convoluted neural network (CNN)-based framework to diagnose COVID-19 infection from chest X-ray and computed tomography i"}