The Automated Learning of Deep Features for Breast Mass Classification from Mammograms

@inproceedings{Dhungel2016TheAL,
  title={The Automated Learning of Deep Features for Breast Mass Classification from Mammograms},
  author={Neeraj Dhungel and Gustavo Carneiro and Andrew P. Bradley},
  booktitle={MICCAI},
  year={2016}
}
The classification of breast masses from mammograms into benign or malignant has been commonly addressed with machine learning classifiers that use as input a large set of hand-crafted features, usually based on general geometrical and texture information. In this paper, we propose a novel deep learning method that automatically learns features based directly on the optmisation of breast mass classification from mammograms, where we target an improved classification performance compared to the… CONTINUE READING
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