Self-Supervised Joint Learning for pCLE Image Denoising
Self-Supervised Joint Learning for pCLE Image Denoising
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Author / Creator
Yang, Kun , Zhang, Haojie , Qiu, Yufei , Zhai, Tong and Zhang, Zhiguo
Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Probe-based confocal laser endoscopy (pCLE) has emerged as a powerful tool for disease diagnosis, yet it faces challenges such as the formation of hexagonal patterns in images due to the inherent characteristics of fiber bundles. Recent advancements in deep learning offer promise in image denoising, but the acquisition of clean-noisy image pairs fo...
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Full title
Self-Supervised Joint Learning for pCLE Image Denoising
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TN_cdi_doaj_primary_oai_doaj_org_article_6073af442b2842a8874d105b405f36fb
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6073af442b2842a8874d105b405f36fb
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24092853