mlsanityData to 7 Oct 2026

VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image Segmentation

arXiv 2403.09157 ↗First posted 14 Mar 2024eess.IV cs.CVcited by 39

On the map: State-space sequence models (S4, Mamba) → Mamba for medical image analysis

Abstract (arXiv)

In the field of medical image segmentation, models based on both CNN and Transformer have been thoroughly investigated. However, CNNs have limited modeling capabilities for long-range dependencies, making it challenging to exploit the semantic information within images fully. On the other hand, the quadratic computational complexity poses a challenge for Transformers. Recently, State Space Models (SSMs), such as Mamba, have been recognized as a promising method. They not only demonstrate superior performance in modeling long-range interactions, but also preserve a linear computational complexity. Inspired by the Mamba architecture, We proposed Vison Mamba-UNetV2, the Visual State Space (VSS) Block is introduced to capture extensive contextual information, the Semantics and Detail Infusion (SDI) is introduced to augment the infusion of low-level and high-level features. We conduct comprehensive experiments on the ISIC17, ISIC18, CVC-300, CVC-ClinicDB, Kvasir, CVC-ColonDB and ETIS-LaribPolypDB public datasets. The results indicate that VM-UNetV2 exhibits competitive performance in medical image segmentation tasks. Our code is available at https://github.com/nobodyplayer1/VM-UNetV2.

Key facts. Cited by 39 papers in the map (data through 7 Oct 2026). Placed in Mamba for medical image analysis, one of 10 directions in State-space sequence models (S4, Mamba). Builds on 20 of its 27 references that are in the map. First posted on arXiv 14 Mar 2024.

Builds on

20 of 27 references.

Closest ancestors · 1

Same direction, newest first

  1. 2024VM-UNet: Vision Mamba UNet for Medical Image Segmentation4 Feb

Other references · 19

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  2. 2023Mamba: Linear-Time Sequence Modeling with Selective State Spacescited by 4,616
  3. 2017MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applicationscited by 3,827
  4. 2018Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentationcited by 3,210
  5. 2018CBAM: Convolutional Block Attention Modulecited by 2,463
  6. 2020GLU Variants Improve Transformercited by 1,724
  7. 2021TransUNet: Transformers Make Strong Encoders for Medical Image Segmentationcited by 1,552
  8. 2018UNet++: A Nested U-Net Architecture for Medical Image Segmentationcited by 1,518
  9. 20163D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotationcited by 1,471
  10. 2018Attention U-Net: Learning Where to Look for the Pancreascited by 1,420
  11. 2015Multi-Scale Context Aggregation by Dilated Convolutionscited by 1,128
  12. 2024VMamba: Visual State Space Modelcited by 955
7 more
  1. 2018Path Aggregation Network for Instance Segmentationcited by 796
  2. 2021TransFuse: Fusing Transformers and CNNs for Medical Image Segmentationcited by 258
  3. 2021Shallow Attention Network for Polyp Segmentationcited by 107
  4. 2022MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentationcited by 59
  5. 2022TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentationcited by 43
  6. 2022TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Modelcited by 34
  7. 2023U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentationcited by 23

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 17; 2025: 12; 2026: 10.

39 papers.

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By area:

  1. 2024Fusion-Mamba for Cross-modality Object Detectioncited by 67
  2. 2024State Space Model for New-Generation Network Alternative to Transformers: A Surveycited by 59
  3. 2024Vision Mamba: A Comprehensive Survey and Taxonomycited by 53
  4. 2024A Survey on Visual Mambacited by 50
  5. 2024UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentationcited by 45
  6. 2024A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyondcited by 16
  7. 2025AVS-Mamba: Exploring Temporal and Multi-modal Mamba for Audio-Visual Segmentationcited by 15
  8. 2024ProMamba: Prompt-Mamba for polyp segmentationcited by 12
  9. 2024Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentationcited by 12
  10. 2024xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba Counterpartcited by 12
  11. 2025Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentationcited by 7
  12. 2024HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image Segmentationcited by 6
27 more
  1. 2024Topology-aware Mamba for Crack Segmentation in Structurescited by 6
  2. 2024MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion Segmentationcited by 5
  3. 2024SkinMamba: A Precision Skin Lesion Segmentation Architecture with Cross-Scale Global State Modeling and Frequency Boundary Guidancecited by 4
  4. 2025A Comprehensive Analysis of Mamba for 3D Volumetric Medical Image Segmentationcited by 4
  5. 2026MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentationcited by 4
  6. 2025A Reverse Mamba Attention Network for Pathological Liver Segmentationcited by 3
  7. 2024MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentationcited by 2
  8. 2024Venturing into Uncharted Waters: The Navigation Compass from Transformer to Mambacited by 1
  9. 2025BS-Mamba for Black-Soil Area Detection On the Qinghai-Tibetan Plateaucited by 1
  10. 2025ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion Segmentationcited by 1
  11. 2025UNet with Self-Adaptive Mamba-Like Attention and Causal-Resonance Learning for Medical Image Segmentationcited by 1
  12. 2025CMFDNet: Cross-Mamba and Feature Discovery Network for Polyp Segmentationcited by 1
  13. 2024LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentationcited by 0
  14. 2024When Mamba Meets xLSTM: An Efficient and Precise Method with the xLSTM-VMUNet Model for Skin lesion Segmentationcited by 0
  15. 2025SSNet: Saliency Prior and State Space Model-based Network for Salient Object Detection in RGB-D Imagescited by 0
  16. 2025Prompt-Guided Dual-Path UNet with Mamba for Medical Image Segmentationcited by 0
  17. 2025MambaCAFU: Hybrid Multi-Scale and Multi-Attention Model with Mamba-Based Fusion for Medical Image Segmentationcited by 0
  18. 2025WDFFU-Mamba: A Wavelet-guided Dual-attention Feature Fusion Mamba for Breast Tumor Segmentation in Ultrasound Imagescited by 0
  19. 2026DSVM-UNet : Enhancing VM-UNet with Dual Self-distillation for Medical Image Segmentationcited by 0
  20. 2026SGDC: Structurally-Guided Dynamic Convolution for Medical Image Segmentationcited by 0
  21. 2026CS-MUNet: A Channel-Spatial Dual-Stream Mamba Network for Multi-Organ Segmentationcited by 0
  22. 20263D Segment Anything Model with Visual Mamba for Diagnosing Placenta Accreta Spectrumcited by 0
  23. 2026APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigmscited by 0
  24. 2026A Unified Benchmark of Deep Learning Models for Multi-task 3D Brain Tumor Segmentation from Magnetic Resonance Imagingcited by 0
  25. 2026CSG-Mamba: A Convolutional Scoring Gating Vision State Space Network for Endoscopic Polyp Segmentationcited by 0
  26. 2026MaLViL: Multi-axis Low-rank Vision-LSTM for Medical Image Segmentationcited by 0
  27. 2026FU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image Segmentationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation
  2. 2024MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation
  3. 2024LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation
  4. 2025MM-UNet: Meta Mamba UNet for Medical Image Segmentation
  5. 2024H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation
  6. 2024LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation
  7. 2024ViM-UNet: Vision Mamba for Biomedical Segmentation
  8. 2024LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation