Computer vision and machine learning methods for the analysis of brain and cardiac imagery

Computer vision and machine learning methods for the analysis of brain and cardiac imagery

Medical imagery is increasingly evolving towards higher resolution and throughput. The increasing volume of data and the usage of multiple and often novel imaging modalities necessitates the use of mathematical and computational techniques for quicker, more accurate and more robust analysis of medic...

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Bibliographic Details
Main Author: Mohan, Vandana
Published: Georgia Institute of Technology 2011
Subjects:
Schizophrenia detection
Cingulum bundle
Tubular surface segmentation
Branch detection
Mass spectrometry analysis
Tumor boundary detection
Biomarker detection
Glioma
Tumor classification
DESI
Vessel segmentation
Medical imaging
Fiber bundle segmentation
Computer vision
Diagnostic imaging
Computer vision in medicine
Image processing
Machine learning
Online Access:http://hdl.handle.net/1853/39628

Internet

http://hdl.handle.net/1853/39628

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