LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Scrutinizing high‐risk patients from ASC‐US cytology via a deep learning model

Photo by martindorsch from unsplash

Atypical squamous cells of undetermined significance (ASC‐US) is the most frequent but ambiguous abnormal Papanicolaou (Pap) interpretation and is generally triaged by high‐risk human papillomavirus (hrHPV) testing before colposcopy. This… Click to show full abstract

Atypical squamous cells of undetermined significance (ASC‐US) is the most frequent but ambiguous abnormal Papanicolaou (Pap) interpretation and is generally triaged by high‐risk human papillomavirus (hrHPV) testing before colposcopy. This study aimed to evaluate the performance of an artificial intelligence (AI)‐based triage system to predict ASC‐US cytology for cervical intraepithelial neoplasia 2+ lesions (CIN2+).

Keywords: risk patients; high risk; scrutinizing high; cytology; asc cytology

Journal Title: Cancer Cytopathology
Year Published: 2022

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.