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Proceedings Paper

Tumor detection using digital mammography
Author(s): Gary Preis; Ismail I. Jouny
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Paper Abstract

Algorithms for tumor detection in digital mammography are developed and tested using a large database of normal and abnormal images. These algorithms build on previous work ion digital mammography and involve using two basic schemes. Feature extraction using image re-mapping for histogram modification, wavelet decomposition, and estimating of pertinent statistical parameters. These features are then presented in different formats to a neural net-based detection system.

Paper Details

Date Published: 22 October 2001
PDF: 12 pages
Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); doi: 10.1117/12.445404
Show Author Affiliations
Gary Preis, Lafayette College (United States)
Ismail I. Jouny, Lafayette College (United States)


Published in SPIE Proceedings Vol. 4379:
Automatic Target Recognition XI
Firooz A. Sadjadi, Editor(s)

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