The Center for Education and Research in Information Assurance and Security (CERIAS)

The Center for Education and Research in
Information Assurance and Security (CERIAS)
Center for Education and Research in Information Assurance and Security

Full-field mammogram analysis based on the identification of normal regions

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Author

Y Sun, C Babbs, EJ Delp, E.J.

Entry type

article

Abstract

We present a new method for full-field mammogram analysis. A mammogram is analyzed region by region and is classified as normal or abnormal. We present methods for extracting features that can be used to distinguish normal and abnormal regions of a mammogram. We describe our classifier technique that uses a unique reclassification method to boost the classification performance. We have tested this technique on a set of ground-truth full-field mammograms.

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Date

2004 – 04

URL

http://ieeexplore.ieee.org/iel ... ber=&arnumber=1398742

Journal

Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on

Key alpha

Delp

Pages

1131-1134

Volume

2

Publication Date

2004-04-01

Keywords

cancer, feature extraction, image classification, mammography, medical image processing, tumours classifier technique, feature extraction, ground-truth full-field mammogram analysis, reclassification method

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