V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

@article{Milletari2016VNetFC,
  title={V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation},
  author={Fausto Milletari and Nassir Navab and Seyed-Ahmad Ahmadi},
  journal={2016 Fourth International Conference on 3D Vision (3DV)},
  year={2016},
  pages={565-571}
}
Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields. [...] Key Method Our CNN is trained end-to-end on MRI volumes depicting prostate, and learns to predict segmentation for the whole volume at once. We introduce a novel objective function, that we optimise during training, based on Dice coefficient.Expand
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