作者分别用来自VMamba-T和VMamba-S的预训练权重来初始化VM-UNet。如表3所示,实验结果表明,更强大的预训练权重显著提高了VM-UNet在下游任务中的性能,这表明VM-UNet在很大程度上受到预训练权重的影响。 5 Conclusions and Future works 结论:在本文中,作者首次引入了一种基于纯SSM的医疗图像分割模型,并提出VM-UNet...
特别是,在医学图像分割任务中,U-Mamba 率先引入了 SSM-CNN 混合模型,而本文则是第一个提出了 VM-UNet,一种纯 SSM-based model,旨在展示其在医学图像分割任务中的潜力。 方法 主要结构 如上图所示,为 VM-UNet 的模型结构图。具体而言,VM-UNet 包括一个 Patch Embedding 层、一个编码器、一个解码器、一个...
In this paper, we extend the adaptability of SS2D by proposing a High-order Vision Mamba UNet (H-vmunet) for medical image segmentation. Among them, the proposed High-order 2D-selective-scan (H-SS2D) progressively reduces the introduction of redundant information during SS2D operations through...
VM-UNet This is the official code repository for "VM-UNet: Vision Mamba UNet for Medical Image Segmentation". {Arxiv Paper} Abstract In the realm of medical image segmentation, both CNN-based and Transformer-based models have been extensively explored. However, CNNs exhibit limitations in long...
1.The UltraLight VM-UNet has only 0.049M parameters, 0.060 GFLOPs, and a model weight file of only 229.1 KB. 2.Parallel Vision Mamba (or Mamba) is a winner for lightweight models. News🚀 (2024.04.24)The third version of our paper has been uploaded toarXiv, adding richer experimental ...
在本文中,我们深入探讨了Mamba中参数影响的关键因素,并在此基础上提出了一种超轻视觉Mamba UNet(UltraLight VM UNet)。 具体来说,我们提出了一种在并行视觉Mamba中处理特征的方法,称为PVM层,该方法在保持处理通道总数不变的同时,以最低的计算负载实现了优异的性能。
VM-UNet This is the official code repository for "VM-UNet: Vision Mamba UNet for Medical Image Segmentation". {Arxiv Paper} Abstract In the realm of medical image segmentation, both CNN-based and Transformer-based models have been extensively explored. However, CNNs exhibit limitations in long...
[arXiv] The official code for "UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation". - eltociear/UltraLight-VM-UNet