• 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… 
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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.

Attribute-driven segmentation and analysis of mammograms

A mammogram analysis system developed for the automatic segmentation and analysis of mammograms designed to aid radiologists to detect breast cancer on mammograms that embodies attributedriven segmentation in which the attributes of an image are extracted progressively in a step-by-step, hierarchical fashion.

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.

References

SHOWING 1-9 OF 9 REFERENCES

Systematic Segmentation of Mammograms

This thesis addresses the fundamental question of segmenting mammograms as the first stage of this processing and presents systematic methods for locating the nipple, delineating the pectoral muscle, and identifying the adipose and fibroglandular tissue on mammograms.

A simple method for automatically locating the nipple on mammograms

This paper outlines a simple, fast, and accurate method for automatically locating the nipple on digitized mammograms that have been segmented to reveal the skin-air interface based both on the observed behavior of mammographic tissue intensities and on geometry.

A review of false negative mammography in a symptomatic population.

Segmenting the Breast Border and Nipple on Mammograms

Teaching atlas of mammography.

  • L. TabárP. Dean
  • Medicine
    Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin. Erganzungsband
  • 1983
This fourth edition of the bestselling Teaching Atlas of Mammography, readers are again invited to share in the authors' experience of analyzing and evaluating mammograms and provide the requisite knowledge and tools to arrive at a highly accurate differential diagnosis.

A geometric approach to edge detection

The role of geometry in determining good features for edge detection and in setting parameters for functions to blend the features are examined and statistical features such as the range and standard deviation of window intensities are found to be as effective as more traditional features.

Systematic Segmentation of Mammograms Centre for Intelligent Information Processing Systems

  • Systematic Segmentation of Mammograms Centre for Intelligent Information Processing Systems
  • 1996

Handbook of Breast Imaging. Handbooks of Diagnostic Imaging

  • Handbook of Breast Imaging. Handbooks of Diagnostic Imaging
  • 1989

and K

  • A. Scanlan, eds., Handbook of Breast Imaging. Handbooks of Diagnostic Imaging, New York: Churchill Livingstone
  • 1989