Pectoral muscle detection in mammograms based on the shortest path with endpoints learnt by SVMs

@article{Domingues2010PectoralMD,
  title={Pectoral muscle detection in mammograms based on the shortest path with endpoints learnt by SVMs},
  author={In{\^e}s Domingues and Jaime S. Cardoso and Igor Francisco Areias Amaral and In{\^e}s C. Moreira and Pedro Passarinho and Joao Santa Comba and R. Correia and Maria Jo{\~a}o Cardoso},
  journal={2010 Annual International Conference of the IEEE Engineering in Medicine and Biology},
  year={2010},
  pages={3158-3161}
}
Automatic pectoral muscle removal on medio-lateral oblique view of mammogram is an essential step for many mammographic processing algorithms. However, the wide variability in the position of the muscle contour, together with the similarity between in muscle and breast tissues makes the detection a difficult task. In this paper, we propose a two step procedure to detect the muscle contour. In a first step, the endpoints of the contour are predicted with a pair of support vector regression… CONTINUE READING
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