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Improving Colonoscopy Lesion Classification Using Semi-Supervised Deep Learning.

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第一作者： Mayank,Golhar

第一单位： Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.

作者： Mayank,Golhar ^[1] ; Taylor L,Bobrow ^[2] ; Mirmilad Pourmousavi,Khoshknab ^[3] ; Simran,Jit ^[3] ; Saowanee,Ngamruengphong ^[3] ; Nicholas J,Durr ^[4]

作者单位： Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA. ^[1] Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA. ^[2] Division of Gastroenterology and Hepatology, Johns Hopkins Hospital, Baltimore, MD 21287, USA. ^[3] Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.;Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA. ^[4]

关键词 Colonoscopy deep learning domain adaptation endoscopy jigsaw lesion classification out-of-distribution detection semi-supervised unsupervised

DOI 10.1109/access.2020.3047544

PMID 33747680

发布时间 2022-10-19

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