Artificial intelligence in colposcopic examination: A promising tool to assist junior colposcopists

INTRODUCTION: Well-trained colposcopists are in huge shortage worldwide, especially in low-resource areas. Here, we aimed to evaluate the Colposcopic Artificial Intelligence Auxiliary Diagnostic System (CAIADS) to detect abnormalities based on digital colposcopy images, especially focusing on its ro...

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Detalles Bibliográficos
Autores principales: Wu, Aiyuan, Xue, Peng, Abulizi, Guzhalinuer, Tuerxun, Dilinuer, Rezhake, Remila, Qiao, Youlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088560/
https://www.ncbi.nlm.nih.gov/pubmed/37056736
http://dx.doi.org/10.3389/fmed.2023.1060451

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088560/
https://www.ncbi.nlm.nih.gov/pubmed/37056736
http://dx.doi.org/10.3389/fmed.2023.1060451

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