Difference between revisions of "2015 Summer Project Week:BigDataFeatures"
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Revision as of 17:47, 5 June 2015
Home < 2015 Summer Project Week:BigDataFeatures
Key Investigators
- Matthew Toews, École de Technologie Supérieure
- William Wells, BWH, Harvard Medical School
- Tina Kapur, BWH, Harvard Medical School
Project Description
Objective
- This project will investigate the use of 3D SIFT-RANK image features for organizing and deriving information from 3D medical image volumes.
- Technology: invariant feature extraction, descriptor representation.
- Application domains: registration, segmentation, classification.
- Image domains: lung CT, brain MR, prostate and brain ultrasound.
- Clinical domains: chronic obstructive pulmonary disease, Alzheimer's disease, cancer.
Approach, Plan
- Discussion and documentation
** Algorithms: fast KNN methods, hashing, robust estimation (RANSAC, Hough transform). ** Mathematical formalisms: probabilistic inference, kernel methods, manifold learning.
