Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications

Yulei Jiang; Robert M. Nishikawa; John Papaioannou

doi:10.1117/12.310907

24 June 1998 Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications

Yulei Jiang, Robert M. Nishikawa, John Papaioannou

Author Affiliations +

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310907
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

We are developing computerized schemes to detect clustered microcalcifications in mammograms, and to classify malignant versus benign microcalcifications. The purpose of this study is to investigate the effects on the performance of computer classification when results of computer-detected true microcalcifications and computer detected false-positive signals are used as input to the computer classification scheme. We found that when trained using manually identified microcalcifications, the computer classification performance was not degraded significantly when up to 60% of true microcalcifications were missed, and when false-positive signals made up approximately one half of the computer detection.

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Yulei Jiang, Robert M. Nishikawa, and John Papaioannou "Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310907

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