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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
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 |
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