Dr. Yajie Sun Profile

Dr. Yajie Sun

Imaging Scientist

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Proceedings Article | 21 May 2004 Paper

A two-stage classifier system for normal mammogram identification

Yajie Sun, Charles Babbs, Edward Delp

Proceedings Volume 5299, (2004) https://doi.org/10.1117/12.538996

KEYWORDS: Mammography, Cancer, Feature extraction, Breast, Electronic filtering, Tissues, Image processing, Computing systems, Breast cancer, Databases

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In this paper, we present a unique two-stage classifier system for identifying normal mammograms. We present methods that extract features from breast regions characterizing normal and cancerous tissue. A subset of the features is used to construct a classifier. This classifier is then used to classify each mammogram as normal or abnormal. We designed a unique two-stage cascading classifier system. A binary decision tree classifier was used in the first stage. Cost constraints can be set to correctly classify cancerous regions. The regions classified as abnormal in the first-stage were used as input to the second-stage classifier, a linear classifier. We will show that the overall performance of our two-stage cascading classifier is better than a single classifier. Results of full-field normal mammogram analysis using this cascading classifier are comparable to a human reader.

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