Author/Editor		Guillemet, H; Benali, H; Kahn, E; Di Paola, R
Title		A multistage methodology for detection of microcalcifications in digital mammography
Type		članek
Source		Acta Stereol
Vol. and No.		Letnik 15, št. 2
Publication year		1996
Volume		str. 125-30
Language		eng
Abstract		This paper describes a corase-to-fine approach for detection and segmentation of clustered microcalcifications. Starting from digitized images of whole mammographic films, the method involves three main stages. First, the breast is segmented. Then a texture analyzer based on the fractional Brownian motion model is applied to select those regions that may contain a cluster. The last stage computes the isophote map of the selected regions and considers the relative positions of isophotes to recognize the microcalcifications. The method was evaluated using a database of 150 mammographic images of patients who underwent a surgical biopsy for a cluster of microcalcifications. In 95% of mammograms, the clusters are correctly localized if we accept an average 1,5 false positive cluster per mammography.
Descriptors		MAMMOGRAPHY CALCINOSIS IMAGE PROCESSING, COMPUTER-ASSISTED BREAST NEOPLASMS