An edge enhanced 3D mamba U‐Net for pediatric brain tumor segmentation with transfer learning

The 3D Mamba U-Net with transfer learning and edge-enhancement modules effectively alleviates the challenges of complex tumor boundaries and small sample size problem in pediatric glioma segmentation.

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Publication Details

Journal
Medical Physics
Published
2025-10-01
DOI
https://doi.org/10.1002/mp.70002
Citations
1
Primary Topic
Advanced Neural Network Applications
Type
article
Field-Weighted Citation Impact
1.28
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An edge enhanced 3D mamba U‐Net for pediatric brain tumor segmentation with transfer learning

He Wang, Zhexian Sun, Jianing Ruan, Zhenming Yuan et al.
1 citations
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Advanced Neural Network Applications
1.28
article

An edge enhanced 3D mamba U‐Net for pediatric brain tumor segmentation with transfer learning

He Wang, Zhexian Sun, Jianing Ruan, Zhenming Yuan, Jian Zhang, Xiaoyan Sun
article en
1 citations

Abstract

The 3D Mamba U-Net with transfer learning and edge-enhancement modules effectively alleviates the challenges of complex tumor boundaries and small sample size problem in pediatric glioma segmentation.

Medical PhysicsVol. 52(10)
Hangzhou Normal University (CN), Children's Hospital of Zhejiang University (CN)
Openalex Percentile: Top 15%
Advanced Neural Network Applications
1.28
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