Dual‐branch Transformer for semi‐supervised medical image segmentation
Dual‐branch Transformer for semi‐supervised medical image segmentation
About this item
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Author / Creator
Publisher
United States: John Wiley & Sons, Inc
Journal title
Language
English
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Publication information
Publisher
United States: John Wiley & Sons, Inc
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Contents
Purpose
In recent years, the use of deep learning for medical image segmentation has become a popular trend, but its development also faces some challenges. Firstly, due to the specialized nature of medical data, precise annotation is time‐consuming and labor‐intensive. Training neural networks effectively with limited labeled data is a signific...
Alternative Titles
Full title
Dual‐branch Transformer for semi‐supervised medical image segmentation
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11466465
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11466465
Other Identifiers
ISSN
1526-9914
E-ISSN
1526-9914
DOI
10.1002/acm2.14483
