PMC:7782580 / 32931-33202 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"219","span":{"begin":38,"end":46},"obj":"Disease"}],"attributes":[{"id":"A219","pred":"tao:has_database_id","subj":"219","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":"llent performance for identifying the COVID-19 cases automatically in the X-data and CT-data. Unlike traditional machine learning methods, the CNNCF was trained in an end-to-end manner, which ensured the flexibility of the framework for different data sets without much a"}