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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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| Publicado en: | Biosci Rep |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Portland Press Ltd.
2018
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5938423/ https://ncbi.nlm.nih.gov/pubmed/29572387 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1042/BSR20180289 |
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