Combining deep convolutional networks and SVMs for mass detection on digital mammograms

@article{Wichakam2016CombiningDC,
  title={Combining deep convolutional networks and SVMs for mass detection on digital mammograms},
  author={Itsara Wichakam and Peerapon Vateekul},
  journal={2016 8th International Conference on Knowledge and Smart Technology (KST)},
  year={2016},
  pages={239-244}
}
It is important to detect breast cancers as early as possible, which are commonly diagnosed as a mass region on mammograms. Deep Convolutional networks (ConvNets) have been specially designed for various computer vision tasks. In image classification, it contains many layers to automatically extract image features and employs the softmax function at the last layer to predict a probability. Although it excels in feature extraction, the classification is still limited. In this paper, we propose… CONTINUE READING