| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4217917 | Academic Radiology | 2014 | 10 Pages |
Abstract
CTTA, in conjunction with random forest modeling, demonstrates promise as a tool to characterize lesions. Various renal masses were accurately classified using quantitative information derived from routine scans.
Keywords
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Authors
Siva P. MD, Yifei BS, James L. PhD, Peng PhD, Elliot K. MD,