A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk.
Background: Breast ductal carcinoma in situ (DCIS) represent approximately 20% of screen-detected breast cancers. The overall risk for DCIS patients treated with breast-conserving surgery stems almost exclusively from local recurrence. Although a mastectomy or adjuvant radiation can reduce recurrenc...
| Published in: | Breast Cancer Research Vol. 21; no. 1 |
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| Main Authors: | , , , , , , , , , , |
| Format: | Journal Article |
| Published: |
BioMed Central
7/29/2019
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| Online Access: | View this record in EBSCOhost |