ArticlePatterns (New York, N.Y.)2025
UltraLight VM-UNet: Parallel Vision Mamba significantly reduces parameters for skin lesion segmentation.
Article in Patterns (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- A Spectral-Index-Aligned Transfer-Learning Approach for Automated Plantation Segmentation in High-Resolution Remote-Sensing Imagery.Plants (Basel, Switzerland) · 2026Article
- FlowVM-Net: Enhanced Vessel Segmentation in X-Ray Coronary Angiography Using Temporal Information Fusion.Journal of imaging informatics in medicine · 2026Article
- DIG-MambaNet: A Dual-Path Interactive Guided Mamba Network for Medical Image Segmentation.Journal of imaging · 2026Article
- FLDO-LKNet: An Efficient Method for Segmenting Stone Cells in Rubber Tree Bark with Robustness to Staining Differences and Morphological and Scale Changes.Plants (Basel, Switzerland) · 2026Article
- TEM-Net: A Tri-Channel Edge-Aware Multi-Scale Network for Thyroid Nodule Segmentation in Ultrasound Images.Bioengineering (Basel, Switzerland) · 2026Article
- Adaptive multimodal fusion via Gated Parallel Mamba architecture for ultra-high-precision stroke lesion segmentation in medical imaging.PLOS digital health · 2026Article
- An Efficient Cross-Modal Interaction and Dynamic Fusion Network for Multimodal Breast Ultrasound Diagnosis.Tomography (Ann Arbor, Mich.) · 2026Article
- SwiftMSeg: lightweight multi-scale local-global context modeling with transformer for medical image segmentation.Scientific reports · 2026Article
- MDVM-UNet: lumbar MRI segmentation and lordosis angle measurement via a dual-driven mechanism.BMC medical imaging · 2026Article
- A lightweight causal Mamba network for blurred QR code image restoration.Scientific reports · 2026Article
- Class-balanced dermoscopic lesion segmentation using MoG-LISA and optimized Swin-UNet via the GM-FDE framework.iScience · 2026Article
- A parallel UNet integrating KAN and mamba for medical image segmentation.Scientific reports · 2026Article
- LTPNet: Lesion-Aware Triple-Path Feature Fusion Network for Skin Lesion Segmentation.Journal of imaging · 2026Article
- Article
- ZRFrontiers in bioinformatics · 2026Article
- VMPANet: Vision Mamba Skin Lesion Image Segmentation Model Based on Prompt and Attention Mechanism Fusion.Journal of imaging · 2025Article
- UltraLight VM-UNet: Parallel Vision Mamba significantly reduces parameters for skin lesion segmentation.Patterns (New York, N.Y.) · 2025Article
- PUNet: a lightweight parallel U-Net architecture integrating Mamba-CNN for high-precision image segmentation.Scientific reports · 2025Article
- Hierarchical Multi-Scale Mamba with Tubular Structure-Aware Convolution for Retinal Vessel Segmentation.Entropy (Basel, Switzerland) · 2025Article
- PG-Mamba: An Enhanced Graph Framework for Mamba-Based Time Series Clustering.Sensors (Basel, Switzerland) · 2025Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Traditionally, to improve the segmentation performance of models, most approaches prefer to use more complex modules. This is not suitable for the medical field, especially for mobile medical devices, where computationally loaded models are not suitable for real clinical environments due to computational resource constraints. Recently, state-space models, represented by Mamba, have become a strong competitor to traditional convolutional neural networks and transformers. In this paper, we deeply explore the key elements of parameter influence in Mamba and propose an UltraLight Vision Mamba UNet (UltraLight VM-UNet) based on this. Specifically, we propose a method for processing features in parallel Vision Mamba, named the PVM Layer, which achieves competitive performance with the lowest computational complexity while keeping the overall number of processing channels constant. We conducted segmentation experiments on three public datasets of skin lesions and showed that UltraLight VM-UNet exhibits competitive performance with only 0.049M parameters and 0.060 GFLOPs.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.