One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation

Class imbalance has emerged as one of the major challenges for medical image segmentation. The model cascade (MC) strategy significantly alleviates the class imbalance issue via running a set of individual deep models for coarse-to-fine segmentation... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Brain Tumor Segmentation BRATS-2015 OM-Net + CGAp Dice Score 87% # 1
Brain Tumor Segmentation BRATS-2017 val OM-Net + CGAp Dice Score 0.9071 # 1
Brain Tumor Segmentation BRATS 2018 val OM-Net + CGAp Dice Score 91.59 # 1

Methods used in the Paper


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