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Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model
Automated breast cancer multi-classification from histopathological images plays a key role in computer-aided breast cancer diagnosis or prognosis. Breast cancer multi-classification is to identify subordinate classes of breast cancer (Ductal carcinoma, Fibroadenoma, Lobular carcinoma, etc.). Howeve...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5482871/ https://ncbi.nlm.nih.gov/pubmed/28646155 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-04075-z |
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