The application of deep learning based diagnostic system to cervical squamous intraepithelial lesions recognition in colposcopy images

Background Deep learning has presented considerable potential and is gaining more importance in computer assisted diagnosis. As the gold standard for pathologically diagnosing cervical intraepithelial lesions and invasive cervical cancer, colposcopy-guided biopsy faces challenges in improving accura...

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Detalles Bibliográficos
Autores principales: Yuan, Chunnv, Yao, Yeli, Cheng, Bei, Cheng, Yifan, Li, Ying, Li, Yang, Liu, Xuechen, Cheng, Xiaodong, Xie, Xing, Wu, Jian, Wang, Xinyu, Lu, Weiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7363819/
https://www.ncbi.nlm.nih.gov/pubmed/32669565
http://dx.doi.org/10.1038/s41598-020-68252-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7363819/
https://www.ncbi.nlm.nih.gov/pubmed/32669565
http://dx.doi.org/10.1038/s41598-020-68252-3

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