期刊
IEEE TRANSACTIONS ON IMAGE PROCESSING
卷 18, 期 4, 页码 765-773出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIP.2008.2011168
关键词
Gaussian mixture; local statistical model; log-likelihood image; screening mammography; texture information
资金
- Czech Grant Agency [102/07/1594, 102/08/0593]
- M9MT [2CO6019 ZlMOLEZ, IM0572 DAR]
We propose a new approach to diagnostic evaluation of screening mammograms based on local statistical texture models. The local evaluation tool has the form of a multivariate probability density of gray levels in a suitably chosen search window. First, the density function in the form of Gaussian mixture is estimated from data obtained by scanning of the mammogram with the search window. Then we evaluate the estimated mixture at each position and display the corresponding log-likelihood value as a gray level at the window center. The resulting log-likelihood Image closely correlates with the structural details of the original mammogram and emphasizes unusual places. We assume that, in parallel use, the log-likelihood Image may provide additional Information to facilitate the identification of malignant lesions as untypical locations of high novelty.
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