A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply

Q: How does OCRA curate its research paper database?

OCRA indexes peer-reviewed papers from PubMed and CrossRef, enriched with MeSH terms, author profiles, and citation metrics. Papers are categorized by cancer type, research method, and clinical relevance.

Q: Can I search papers by MeSH term or author?

Yes. Use the search bar to filter papers by MeSH term, author name, journal, keyword, or cancer type. Each paper includes linked MeSH terms and author profiles for further exploration.

Q: How current is the paper database?

The database is updated regularly through automated ingestion from PubMed and CrossRef. Most papers appear within days of their PubMed indexing date.

doi:10.1016/S2589-7500(22)00145-5

A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply

Yue Gao & Qinglei Gao et al.

Links

DOI PubMed

Journal

The Lancet Digital Health

Authors

Yue Gao, Huayi Li, Lingxi Chen, Yuan Wu, Ding Ma, Qinglei Gao

Funding

National Natural Science Foundation of China Funding National Major Science and Technology Projects of China Funding Major Technology Innovation of Hubei Province Funding Fundamental Research Funds for the Central Universities Funding