Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks

1 Sep 2017Guotai WangWenqi LiSebastien OurselinTom Vercauteren

A cascade of fully convolutional neural networks is proposed to segment multi-modal Magnetic Resonance (MR) images with brain tumor into background and three hierarchical regions: whole tumor, tumor core and enhancing tumor core. The cascade is designed to decompose the multi-class segmentation problem into a sequence of three binary segmentation problems according to the subregion hierarchy... (read more)

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Evaluation Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Brain Tumor Segmentation BRATS-2014 Cascaded Anisotropic CNNs Dice Score 0.8739 # 1