MSA2-Net proposes a dataset-adaptive convolution module for multi-scale medical image segmentation and reports strong Dice scores, but key definitions and one abstract number conflict with the experiments.
Deep semantic segmentation of natural and medical im- ages: a review,
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MSA2-Net: Utilizing Self-Adaptive Convolution Module to Extract Multi-Scale Information in Medical Image Segmentation
MSA2-Net proposes a dataset-adaptive convolution module for multi-scale medical image segmentation and reports strong Dice scores, but key definitions and one abstract number conflict with the experiments.