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 Article Swipe
Lei Cao
,
Qikai Zhang
,
Chunjiang Fan
,
Yazi Cao
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.21037/qims-24-833
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.21037/qims-24-833
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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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.21037/qims-24-833
- OA Status
- diamond
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405004772
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4405004772Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21037/qims-24-833Digital Object Identifier
- Title
-
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 segmentationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-12-01Full publication date if available
- Authors
-
Lei Cao, Qikai Zhang, Chunjiang Fan, Yazi CaoList of authors in order
- Landing page
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https://doi.org/10.21037/qims-24-833Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://doi.org/10.21037/qims-24-833Direct OA link when available
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- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.deployment | 25 |
| abstract_inverted_index.real-world | 27 |
| abstract_inverted_index.resources. | 33 |
| abstract_inverted_index.challenges. | 16 |
| abstract_inverted_index.lightweight | 18 |
| abstract_inverted_index.multi-organ | 9 |
| abstract_inverted_index.well-suited | 23 |
| abstract_inverted_index.environments | 29 |
| abstract_inverted_index.particularly | 11 |
| abstract_inverted_index.segmentation | 7 |
| abstract_inverted_index.computational | 32 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5010492331 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I4210154710 |
| citation_normalized_percentile.value | 0.64533767 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |