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Generative-Discriminative Basis Learning for Medical Imaging

This paper presents a novel dimensionality reduction method for classification in medical imaging. The goal is to transform very high-dimensional input (typically, millions of voxels) to a low-dimensional representation (small number of constructed features) that preserves discriminative signal and...

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Bibliographic Details
Main Authors: Batmanghelich, Nematollah K., Taskar, Ben, Davatzikos, Christos
Format: Artigo
Language:Inglês
Published: 2011
Subjects:
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC3402718/
https://ncbi.nlm.nih.gov/pubmed/21791408
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2011.2162961
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