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Atypical Squamous Cells of the Cervix

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

Cancer cytopathology 35290728
BACKGROUND: 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...
Artificial Intelligence Atypical Squamous Cells of the Cervix Colposcopy Deep Learning Female Humans Papillomaviridae Papillomavirus Infections Pregnancy Uterine Cervical Neoplasms Vaginal Smears
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Application of Machine Learning Algorithms for Risk Stratification and Efficacy Evaluation in Cervical Cancer Screening among the ASCUS/LSIL Population: Evidence from the Korean HPV Cohort Study.

Cancer research and treatment 39265621
PURPOSE: We assessed human papillomavirus (HPV) genotype-based risk stratification and the efficacy of cytology testing for cervical cancer screening in patients with atypical squamous cells of undetermined significance (ASCUS)/low-grade squamous int...
Adult Aged Algorithms Atypical Squamous Cells of the Cervix Cohort Studies Early Detection of Cancer Female Genotype Humans Machine Learning Middle Aged Papillomaviridae Papillomavirus Infections Republic of Korea Risk Assessment Uterine Cervical Neoplasms
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