Journal
IEEE TRANSACTIONS ON IMAGE PROCESSING
Volume 18, Issue 4, Pages 765-773Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIP.2008.2011168
Keywords
Gaussian mixture; local statistical model; log-likelihood image; screening mammography; texture information
Funding
- Czech Grant Agency [102/07/1594, 102/08/0593]
- M9MT [2CO6019 ZlMOLEZ, IM0572 DAR]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available