Paper
16 April 1996 Novel approach to feature extraction for MRI segmentation
Author Affiliations +
Abstract
Magnetic resonance images (MRI) of the brain are segmented into tumor and non-tumor to provide an objective means for measuring the response of a tumor to therapy. This paper focuses on automatic feature extraction to improve brain tumor segmentation using genetic algorithms (GAs). Using the discovered features, a significant increase in accuracy of tumor segmentation is seen. Moreover, this improvement is consistent over a tumor volume outside the training data.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert Paul Velthuizen, Lawrence O. Hall, and Laurence P. Clarke "Novel approach to feature extraction for MRI segmentation", Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); https://doi.org/10.1117/12.237926
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Tumors

Feature extraction

Image segmentation

Genetic algorithms

Magnetic resonance imaging

Associative arrays

Brain

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