DMM-UNet: dual-path multi-scale Mamba UNet for medical image segmentation

The DMM-UNet model effectively addresses the shortcomings of state space models by enabling the integration of both local and global features, improving segmentation performance, and offering enhanced multiscale feature fusion for medical image segmentation tasks.

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Publication Details

Journal
Journal of Medical Imaging
Published
2025-09-29
DOI
https://doi.org/10.1117/1.jmi.12.5.054003
Citations
1
Primary Topic
Medical Image Segmentation Techniques
Type
article
Field-Weighted Citation Impact
1.28
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article

DMM-UNet: dual-path multi-scale Mamba UNet for medical image segmentation

Liquan Zhao, Yanfei Jia, Mingxia Cao
1 citations
Journal of Medical Imaging
Medical Image Segmentation Techniques
1.28
article

DMM-UNet: dual-path multi-scale Mamba UNet for medical image segmentation

Liquan Zhao, Yanfei Jia, Mingxia Cao
article en
1 citations

Abstract

The DMM-UNet model effectively addresses the shortcomings of state space models by enabling the integration of both local and global features, improving segmentation performance, and offering enhanced multiscale feature fusion for medical image segmentation tasks.

Journal of Medical ImagingVol. 12(05)
Beihua University (CN), Electric Power University (VN)
Openalex Percentile: Top 15%
Medical Image Segmentation Techniques
1.28
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