Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model
Abstract 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....
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2017-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-017-04075-z |