特别是,在医学图像分割任务中,U-Mamba引入了SSM-CNN混合模型,而我们则提出了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。 二、方法 模型结构 图1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、一个最终投影层以及跳跃连接。 Patch...
VM-UNet模型设计的出发点是解决现有CNN-based和Transformer-based模型在医学图像分割中的局限性,利用State Space Models(SSMs)的优势,提出一种更有效的医学图像分割模型。 具体来说,CNN-based模型在捕捉长距离信息方面存在不足,而Transformer-based模型由于自注意力机制的二次复杂度导致计算负担较重。SSMs模型如Mamba不仅...
作者对比了VM-UNet与一些最先进模型的性能,并在表1和表2中展示了实验结果。 对于ISIC17和ISIC18数据集,VM-UNet在mIoU、DSC和Acc指标上超过了其他模型。对于Synapse数据集,VM-UNet也取得了具有竞争力的表现。例如,VM-UNet在DSC和HD95指标上分别超过了Swin-UNet——这是第一种纯粹的基于Transformer的模型——1.95%...
VM-UNet:医学分割新篇 🌿在医学图像分割的探索中,Vision Mamba UNet(VM-UNet)以其独特的纯状态空间模型(SSM)脱颖而出。这种新型模型,专为医学图像分割设计,带来了全新的视角和解决方案。🌿VM-UNet的核心在于其精心设计的视觉状态空间(VSS)块,这些模块专为捕捉广泛上下文信息而构建,从而增强了模型对全局信息的建...
named Vision Mamba UNet (VM-UNet). Specifically, the Visual State Space (VSS) block is introduced as the foundation block to capture extensive contextual information, and an asymmetrical encoder-decoder structure is constructed. We conduct comprehensive experiments on the ISIC17, ISIC18, and Synapse...
VM-UNet This is the official code repository for "VM-UNetV2: Rethinking Vision Mamba UNet for Medical Image Segmentation". {Arxiv Paper}This work is based the VM-UNet {Arxiv Paper} and UNetV2 {Arxiv Paper}This code is adjusted from VM-UNet{git link}, UNetV2{git link} and VMamba{...
为解决传统U-Net架构在玉米粒图像分割中忽略像素级结构细节、边缘连续性差的问题,河南工业大学团队提出融合多尺度注意力(MSAM)与细节注入块(DIB)的VMUnet-MSADI模型。该模型通过视觉状态空间(VSS)模块捕获广域上下文信息,结合深度卷积多尺度编码机制,在公开数据集上实现95.96%的准确率,较现有最优方法提升0.9%,为农业...
Among them, the H-vmunet model includes the proposed novel High-order 2D-selective-scan (H-SS2D) and Local-SS2D module. The H-SS2D is used to reduce the introduction of redundant information when SS2D features are feature-learning in the global receptive field. The Local-SS2D module is...
We conducted comparisons and ablation experiments with several state-of-the-art lightweight models on three skin lesion public datasets and demonstrated that the UltraLight VM-UNet exhibits the same strong performance competitiveness with parameters of only 0.049M and GFLOPs of 0.060. In addition, ...
VM-UNet: 第一个基于纯 Mamba 架构的医学图像分割模型 标题:《VM-UNet: Vision Mamba UNet for Medical Image Segmentation》 论文:https://arxiv.org/pdf/2402.02491.pdf 代码:https://github.com/JCruan519/VM-UNet 导读 Mamba,或者叫"… CVHub发表于CVHub... 上海交大提出VM-UNet:将Mamba结构融入UNet...