Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge

28 Feb 2018Fabian IsenseePhilipp KickingerederWolfgang WickMartin BendszusKlaus H. Maier-Hein

Quantitative analysis of brain tumors is critical for clinical decision making. While manual segmentation is tedious, time consuming and subjective, this task is at the same time very challenging to solve for automatic segmentation methods... (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-2015 U-Net + more filters + data augmentation + dice-loss Dice Score 85% # 1