The framework adds CutMix augmentation and an entropy-variance uncertainty score to prototype consistency learning, reporting SOTA on three medical datasets, but the paper reprints the authors' own BIBM 2024 publication (reference [23]).
In: ICASSP 2025- 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation
The framework adds CutMix augmentation and an entropy-variance uncertainty score to prototype consistency learning, reporting SOTA on three medical datasets, but the paper reprints the authors' own BIBM 2024 publication (reference [23]).