Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities

@inproceedings{Ghafoorian2017LocationSD,
  title={Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities},
  author={Mohsen Ghafoorian and Nico Karssemeijer and Tom Heskes and Inge van Uden and Clara I. S{\'a}nchez and Geert J. S. Litjens and Frank-Erik de Leeuw and Bram van Ginneken and Elena Marchiori and Bram Platel},
  booktitle={Scientific Reports},
  year={2017}
}
  • Mohsen Ghafoorian, Nico Karssemeijer, +7 authors Bram Platel
  • Published in Scientific Reports 2017
  • Computer Science, Medicine
  • The anatomical location of imaging features is of crucial importance for accurate diagnosis in many medical tasks. Convolutional neural networks (CNN) have had huge successes in computer vision, but they lack the natural ability to incorporate the anatomical location in their decision making process, hindering success in some medical image analysis tasks. In this paper, to integrate the anatomical location information into the network, we propose several deep CNN architectures that consider… CONTINUE READING

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