| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4218244 | Academic Radiology | 2013 | 9 Pages |
Abstract
This study demonstrates that the risk scores computed by a new support vector machine model involving bilateral mammographic feature asymmetry have potential to assist the prediction of near-term risk of women for developing breast cancer.
Keywords
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Authors
Maxine PhD, Bin PhD, Pandiyarajan PhD, David ScD,