Deep-Learning–Based Evaluation of Dual Stain Cytology for Cervical Cancer Screening: A New Paradigm

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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.

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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.

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

Annekathryn Goodman

doi:10.1093/jnci/djaa067

Deep-Learning–Based Evaluation of Dual Stain Cytology for Cervical Cancer Screening: A New Paradigm

Annekathryn Goodman

Deep-Learning–Based Evaluation of Dual Stain Cytology for Cervical Cancer Screening: A New Paradigm

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