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VM-UNet: Vision Mamba UNet for Medical Image Segmentation
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)In the realm of medical image segmentation, both CNN-based and Transformer-based models have been extensively explored. However, CNNs exhibit limitations in long-range modeling capabilities, whereas Transformers are hampered by their quadratic ...
Jiacheng Ruan +2 more
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Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation
arXiv.orgIn recent advancements in medical image analysis, Convolutional Neural Networks (CNN) and Vision Transformers (ViT) have set significant benchmarks.
Ziyang Wang +4 more
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Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
Comput. Biol. MedicineDue to the inherent flexibility of prompting, foundation models have emerged as the predominant force in the fields of natural language processing and computer vision.
Yichi Zhang, Zhenrong Shen, Rushi Jiao
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Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004
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