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most citedMLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation

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eess.IV2024★ 1 cited

MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation

Yufeng Jiang, Zongxi Li, Xiangyan Chen +2

Recent advancements in medical imaging have resulted in more complex and diverse images, with challenges such as high anatomical variability, blurred tissue boundaries, low organ c…

eess.IV2024

MoE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts

Yufeng Jiang, Yiqing Shen

Medical imaging data is inherently heterogeneous across different modalities and clinical centers, posing unique challenges for developing generalizable foundation models. Conventi…