Not Another Dual Attention UNet Transformer (NNDA-UNETR): a plug-and-play parallel dual attention block in U-Net with enhanced residual blocks for medical image segmentation

NNDA-UNETR offers a robust solution for accurate segmentation in multi-organ tasks, particularly where organ adhesion poses challenges. Its lightweight design also makes it well-suited for deployment in real-world medical environments with limited computational resources.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2024-12-01
DOI
https://doi.org/10.21037/qims-24-833
Citations
2
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.49
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article

Not Another Dual Attention UNet Transformer (NNDA-UNETR): a plug-and-play parallel dual attention block in U-Net with enhanced residual blocks for medical image segmentation

Chunjiang Fan, Yazi Cao, Lei Cao, Qikai Zhang
2 citations
Quantitative Imaging in Medicine and Surgery
Brain Tumor Detection and Classification
0.49
article

Not Another Dual Attention UNet Transformer (NNDA-UNETR): a plug-and-play parallel dual attention block in U-Net with enhanced residual blocks for medical image segmentation

Chunjiang Fan, Yazi Cao, Lei Cao, Qikai Zhang
article en
2 citations

Abstract

NNDA-UNETR offers a robust solution for accurate segmentation in multi-organ tasks, particularly where organ adhesion poses challenges. Its lightweight design also makes it well-suited for deployment in real-world medical environments with limited computational resources.

Quantitative Imaging in Medicine and SurgeryVol. 14(12)
Wuxi Taihu Hospital (CN), Shanghai Maritime University (CN)
Openalex Percentile: Top 32%
Brain Tumor Detection and Classification
0.49
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