Abstract: Existing studies of multi-modality medical image segmentation tend to aggregate all modalities ... Motivated by this discovery, this paper proposes an asymmetric adaptive heterogeneous ...
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image ...
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image ...
However, applying these models directly to medical image segmentation still exposes performance degradation. In this paper, we propose a learnable prompting SAM-induced Knowledge distillation ...
Journal of Nuclear Medicine Technology January 2025, jnmt.124.268402; DOI: https://doi.org/10.2967/jnmt.124.268402 ...
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