DeepMedic for Brain Tumor Segmentation

@inproceedings{Kamnitsas2016DeepMedicFB,
  title={DeepMedic for Brain Tumor Segmentation},
  author={Konstantinos Kamnitsas and Enzo Ferrante and Sarah Parisot and Christian Ledig and Aditya V. Nori and Antonio Criminisi and Daniel Rueckert and Ben Glocker},
  booktitle={BrainLes@MICCAI},
  year={2016}
}
Accurate automatic algorithms for the segmentation of brain tumours have the potential of improving disease diagnosis, treatment planning, as well as enabling large-scale studies of the pathology. In this work we employ DeepMedic [1], a 3D CNN architecture previously presented for lesion segmentation, which we further improve by adding residual connections. We also present a series of experiments on the BRATS 2015 training database for evaluating the robustness of the network when less training… CONTINUE READING
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