Segmenting pectoralis muscle on digital mammograms by a Markov random field-maximum a posteriori model.

Abstract

Accurate and automatic segmentation of the pectoralis muscle is essential in many breast image processing procedures, for example, in the computation of volumetric breast density from digital mammograms. Its segmentation is a difficult task due to the heterogeneity of the region, neighborhood complexities, and shape variability. The segmentation is achieved… (More)
DOI: 10.1117/1.JMI.1.3.034503

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