• Corpus ID: 17084387

Segmentation of the pectoral muscle edge on mammograms by tunable parametric edge detection

@inproceedings{Chandrasekhar2001SegmentationOT,
  title={Segmentation of the pectoral muscle edge on mammograms by tunable parametric edge detection},
  author={Ramachandran Chandrasekhar and Yianni Attikiouzel},
  year={2001}
}
Mammograms are used to screen for breast cancer and computerized analysis of these images can aid radiologists in detecting the disease. Any computerized method to analyze digitized mammograms must first partition the image into its visually and anatomically distinct regions. The pectoral muscle appears on mediolateral oblique views of mammograms and needs to be identified and segmented out before further analysis. This paper presents an algorithm for segmenting the edge of the pectoral muscle… 

Figures from this paper

Automatic pectoral muscle segmentation on mediolateral oblique view mammograms

A new, adaptive algorithm is proposed to automatically extract the pectoral muscle on digitized mammograms; it uses knowledge about the position and shape of the pectorals on mediolateral oblique views to identify and segment out the pECToral muscle.

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An Overview of Pectoral Muscle Extraction Algorithms Applied to Digital Mammograms

This work is intended to provide the researchers a systematic and comprehensive overview of different techniques of pectoral muscle extraction which are categorized into groups based on intensity, region, gradient, transform, probability and polynomial, active contour, graph theory, and soft computing approaches.

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