Deep structured learning for mass segmentation from mammograms

@article{Dhungel2015DeepSL,
  title={Deep structured learning for mass segmentation from mammograms},
  author={Neeraj Dhungel and Gustavo Carneiro and Andrew P. Bradley},
  journal={2015 IEEE International Conference on Image Processing (ICIP)},
  year={2015},
  pages={2950-2954}
}
In this paper, we present a novel method for the segmentation of breast masses from mammograms exploring structured and deep learning. Specifically, using structured support vector machine (SSVM), we formulate a model that combines different types of potential functions, including one that classifies image regions using deep learning. Our main goal with this work is to show the accuracy and efficiency improvements that these relatively new techniques can provide for the segmentation of breast… CONTINUE READING

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