SegResNet trained with assorted precision achieves Dice scores of 0.84 overall, 0.84 for tumor core, 0.90 for whole tumor, and 0.79 for enhancing tumor.
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
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Enhanced 3D Brain Tumor Segmentation Using Assorted Precision Training
SegResNet trained with assorted precision achieves Dice scores of 0.84 overall, 0.84 for tumor core, 0.90 for whole tumor, and 0.79 for enhancing tumor.