Application of EfficientNet‐B0 and GRU‐based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions

BACKGROUND: Colposcopy is indispensable for the diagnosis of cervical lesions. However, its diagnosis accuracy for high‐grade squamous intraepithelial lesion (HSIL) is at about 50%, and the accuracy is largely dependent on the skill and experience of colposcopists. The advancement in computational p...

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Detalles Bibliográficos
Autores principales: Chen, Xiaoyue, Pu, Xiaowen, Chen, Zhirou, Li, Lanzhen, Zhao, Kong‐Nan, Liu, Haichun, Zhu, Haiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
RESEARCH ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134359/
https://www.ncbi.nlm.nih.gov/pubmed/36629131
http://dx.doi.org/10.1002/cam4.5581

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134359/
https://www.ncbi.nlm.nih.gov/pubmed/36629131
http://dx.doi.org/10.1002/cam4.5581

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