Ability of artificial intelligence to detect T1 esophageal squamous cell carcinoma from endoscopic v...
Ability of artificial intelligence to detect T1 esophageal squamous cell carcinoma from endoscopic videos and the effects of real-time assistance
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
Diagnosis using artificial intelligence (AI) with deep learning could be useful in endoscopic examinations. We investigated the ability of AI to detect superficial esophageal squamous cell carcinoma (ESCC) from esophagogastroduodenoscopy (EGD) videos. We retrospectively collected 8428 EGD images of esophageal cancer to develop a convolutional neura...
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Full title
Ability of artificial intelligence to detect T1 esophageal squamous cell carcinoma from endoscopic videos and the effects of real-time assistance
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TN_cdi_doaj_primary_oai_doaj_org_article_76434d4207d84508aeed12b069a34a1c
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_76434d4207d84508aeed12b069a34a1c
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-021-87405-6
