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Multicontrast Pocket Colposcopy Cervical Cancer Diagnostic Algorithm for Referral Populations

Objective and Impact Statement. We use deep learning models to classify cervix images—collected with a low-cost, portable Pocket colposcope—with biopsy-confirmed high-grade precancer and cancer. We boost classification performance on a screened-positive population by using a class-balanced loss and...

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Detalles Bibliográficos
Autores principales:	Skerrett, Erica, Miao, Zichen, Asiedu, Mercy N., Richards, Megan, Crouch, Brian, Sapiro, Guillermo, Qiu, Qiang, Ramanujam, Nirmala
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AAAS 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521679/ https://www.ncbi.nlm.nih.gov/pubmed/37850189 http://dx.doi.org/10.34133/2022/9823184

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