Semi-Supervised Burn Depth Segmentation Network with Contrast Learning and Uncertainty Correction
Semi-Supervised Burn Depth Segmentation Network with Contrast Learning and Uncertainty Correction
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Publisher
Switzerland: MDPI AG
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Language
English
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Switzerland: MDPI AG
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Burn injuries are a common traumatic condition, and the early diagnosis of burn depth is crucial for reducing treatment costs and improving survival rates. In recent years, image-based deep learning techniques have been utilized to realize the automation and standardization of burn depth segmentation. However, the scarcity and difficulty in labelin...
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Full title
Semi-Supervised Burn Depth Segmentation Network with Contrast Learning and Uncertainty Correction
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TN_cdi_doaj_primary_oai_doaj_org_article_ab5ff6bf7407457c9f30baf4a42611ad
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ab5ff6bf7407457c9f30baf4a42611ad
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s25041059
