2010年12月24日 · Inspired by the characteristics of frequency domain similarity across different domains, we propose a Frequency-aware Matching Network (FAMNet), which includes two key components: a Frequency-aware Matching (FAM) module and …

2024年12月12日 · Existing few-shot medical image segmentation (FSMIS) models fail to address a practical issue in medical imaging: the domain shift caused by different imaging techniques, which limits the applicability to current FSMIS tasks. To overcome this limitation, we focus on the cross-domain few-shot medical image segmentation (CD-FSMIS) task, aiming to develop a …

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[AAAI 25] FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation - FAMNet/README.md at main · primebo1/FAMNet

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2025年1月13日 · 结合这两个模块，famnet在三个跨域数据集上超越了现有的fsmis模型和跨域少样本语义分割模型，在cd-fsmis任务中达到了最先进的性能。 关键词 跨域少样本医学图像分割，频率感知匹配，多光谱融合，域偏移，少样本学习

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Network (FAMNet), which includes two key components: a Frequency-aware Matching (FAM) module and a Multi-SpectralFusion(MSF)module.TheFAMmoduletacklestwo problems during the meta-learning phase: 1) intra-domain variance caused by the inherent support-query bias, due to the different appearances of organs and lesions, and 2) inter-