PMC:7782580 / 1164-1319 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"17","span":{"begin":102,"end":110},"obj":"Disease"},{"id":"18","span":{"begin":111,"end":120},"obj":"Disease"}],"attributes":[{"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":"\nLiang, Gu and other colleagues develop a convoluted neural network (CNN)-based framework to diagnose COVID-19 infection from chest X-ray and computed tomo"}