Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4219487 | Academic Radiology | 2008 | 13 Pages |
Abstract
Analyzing multicenter data using a denoising approach led to more parsimonious classification models with increasing accuracy. This approach offers a novel alternate classification strategy for heterogeneous technical and disease components. Furthermore, the model offers the potential to discriminate the multiple patterns of scleroderma disease correctly.
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Authors
Hyun J. PhD, Gang PhD, David PhD, Robert PhD, Sumit K. PhD, Robert BS, Fah BS, Fereidoun MD, Matthew S. PhD, Jonathan G. MD, PhD,