Convolutional sparse kernel network for unsupervised medical image analysis

@article{Ahn2018ConvolutionalSK,
  title={Convolutional sparse kernel network for unsupervised medical image analysis},
  author={Euijoon Ahn and Ashnil Kumar and Michael J. Fulham and David Dagan Feng and Jinman Kim},
  journal={Medical image analysis},
  year={2018},
  volume={56},
  pages={
          140-151
        }
}
The availability of large-scale annotated image datasets and recent advances in supervised deep learning methods enable the end-to-end derivation of representative image features that can impact a variety of image analysis problems. Such supervised approaches, however, are difficult to implement in the medical domain where large volumes of labelled data are difficult to obtain due to the complexity of manual annotation and inter- and intra-observer variability in label assignment. We propose a… CONTINUE READING
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