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

Internet

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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