Discriminative MR Image Feature Analysis for Automatic Schizophrenia and Alzheimer's Disease Classification
- Tags:
- Alzheimer's Disease,
- Analysis,
- Carnegie-Mellon University,
- Human Resources,
- MR,
- Training,
- Training And Certification,
- Workforce Management
- Source:
- Carnegie Mellon University
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Overview: This white paper report proposes an alternative image feature based statistical learning approach, in addition to anatomical structural morphology analysis, to better classify MR image classes. It basically involves in formulating this as a supervised learning problem, where the MR image labels are given. The key element is to learn those MR image features that best discriminate disease classes. The paper also examines both separability on the training data to explore, visualize and understand the structure of the data, and generality in terms of leave-one-out cross validation results to evaluate the generalization power of the selected MR image features.
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Format: PDF | Size: 1,188KB | Date: Mar 2004 | Pages: 15
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