PMC:7782580 / 203-386 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"9","span":{"begin":25,"end":33},"obj":"Disease"},{"id":"10","span":{"begin":142,"end":150},"obj":"Disease"}],"attributes":[{"id":"A9","pred":"tao:has_database_id","subj":"9","obj":"MESH:C000657245"},{"id":"A10","pred":"tao:has_database_id","subj":"10","obj":"MESH:C000657245"}],"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":"stic test sensitivity of COVID-19 is limited due to irregularities in specimen handling. We propose a deep learning framework that identifies COVID-19 from medical images as an auxili"}