Automatic and robust segmentation of multiple sclerosis lesions with convolutional neural networks

HIGHLIGHTS

  • who: H. M. Rehan Afzal from the School of Electrical Engineering and Computing, University of Newcastle, Callaghan, NSW, Australia have published the Article: Automatic and Robust Segmentation of Multiple Sclerosis Lesions with Convolutional Neural Networks, in the Journal: (JOURNAL)
  • what: The main reason of not using FC layer is parameters complexity.
  • how: This paper proposes a novel and fully automated convolution neural network (CNN) approach to segment lesions. For a better understanding of what the authors used for evaluation all these details are tabulated in Tab. These modalities are input at the proposed . . .

     

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