| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4219807 | Academic Radiology | 2008 | 12 Pages |
Abstract
We have proved that our automated lesion classification scheme is robust and can perform well when subjected to variations in user input.
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Authors
Nicholas P. MS, Karen PhD, Maryellen L. PhD, Charlene A. MD, Lorenzo L. PhD,