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Proceedings Paper

Shape-based segmentation and characterization of biomedical images
Author(s): Kevin O. Lepard; Richard A. Robb
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Paper Abstract

Shape is a powerful descriptor in identifying and describing objects in images, but is largely unused as a tool for object segmentation and computer-aided image analysis. We extract shape descriptors of objects, 'cores,' in computer images derived from a variety of sources, and prove their utility in important biomedical applications, including segmentation of the hippocampus and cerebral ventricles from MR images, and discrimination between normal and abnormal nerve axons in photomicrographs.

Paper Details

Date Published: 16 April 1996
PDF: 11 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237996
Show Author Affiliations
Kevin O. Lepard, Mayo Clinic and Foundation (United States)
Richard A. Robb, Mayo Clinic and Foundation (United States)


Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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