Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network

@article{Prasoon2013DeepFL,
  title={Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network},
  author={A. Prasoon and K. Petersen and C. Igel and F. Lauze and E. Dam and M. Nielsen},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2013},
  volume={16 Pt 2},
  pages={
          246-53
        }
}
  • A. Prasoon, K. Petersen, +3 authors M. Nielsen
  • Published 2013
  • Computer Science, Medicine
  • Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Segmentation of anatomical structures in medical images is often based on a voxel/pixel classification approach. [...] Key Method We applied our method to the segmentation of tibial cartilage in low field knee MRI scans and tested it on 114 unseen scans. Although our method uses only 2D features at a single scale, it performs better than a state-of-the-art method using 3D multi-scale features. In the latter approach, the features and the classifier have been carefully adapted to the problem at hand. That we…Expand
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