Automatic classification of ovarian cancer types from cytological images using deep convolutional neural networks

Ovarian cancer is one of the most common gynecologic malignancies. Accurate classification of ovarian cancer types (serous carcinoma, mucous carcinoma, endometrioid carcinoma, transparent cell carcinoma) is an essential part in the different diagnosis. Computer-aided diagnosis (CADx) can provide use...

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Detalles Bibliográficos
Autores principales: Wu, Miao, Yan, Chuanbo, Liu, Huiqiang, Liu, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2018
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938423/
https://www.ncbi.nlm.nih.gov/pubmed/29572387
http://dx.doi.org/10.1042/BSR20180289

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938423/
https://www.ncbi.nlm.nih.gov/pubmed/29572387
http://dx.doi.org/10.1042/BSR20180289

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