Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation

In multi-label brain tumor segmentation, class imbalance and inter-class interference are common and challenging problems. In this paper, we propose a novel end-to-end trainable network named FSENet to address the aforementioned issues... (read more)

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