PMC:7782580 / 32931-33202 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7782580","sourcedb":"PMC","sourceid":"7782580","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7782580","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","tracks":[{"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"},{"subj":"219","pred":"source","obj":"LitCovid-PubTator"}],"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_"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"LitCovid-PubTator","color":"#93ecd4","default":true}]}]}}