Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests

@article{Dhungel2015AutomatedMD,
  title={Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests},
  author={Neeraj Dhungel and Gustavo Carneiro and Andrew P. Bradley},
  journal={2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)},
  year={2015},
  pages={1-8}
}
Mass detection from mammograms plays a crucial role as a pre- processing stage for mass segmentation and classification. The detection of masses from mammograms is considered to be a challenging problem due to their large variation in shape, size, boundary and texture and also because of their low signal to noise ratio compared to the surrounding breast tissue. In this paper, we present a novel approach for detecting masses in mammograms using a cascade of deep learning and random forest… CONTINUE READING

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