Improving image classification of gastrointestinal endoscopy using curriculum self-supervised learni...
Improving image classification of gastrointestinal endoscopy using curriculum self-supervised learning
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London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Contents
Endoscopy, a widely used medical procedure for examining the gastrointestinal (GI) tract to detect potential disorders, poses challenges in manual diagnosis due to non-specific symptoms and difficulties in accessing affected areas. While supervised machine learning models have proven effective in assisting clinical diagnosis of GI disorders, the sc...
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Improving image classification of gastrointestinal endoscopy using curriculum self-supervised learning
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TN_cdi_doaj_primary_oai_doaj_org_article_e0d420fb26ec41c8b5c9de8c9e176b2f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e0d420fb26ec41c8b5c9de8c9e176b2f
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-53955-8
