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Improving Colonoscopy Lesion Classification Using Semi-Supervised Deep Learning

IEEE Access(2020)10.1109/access.2020.3047544Source: DataRank Database

Improving Colonoscopy Lesion Classification Using Semi-Supervised Deep Learning is a research paper published in IEEE Access (2020). On theSindex it has a DataRank of 0. It has been cited 25 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access25 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: goldTopics (19)IDs (PubMed, PMC)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Taylor L. Bobrow ORCID,Mirmilad Khoshknab ORCID,Simran Jit ORCID,Saowanee Ngamruengphong ORCID,Nicholas J. Durr ORCID

Live enrichment

PubMed:33747680 PMC:PMC7978231

NIGMS NIH HHS

Grant: T32 GM007057

National Institute of Biomedical Imaging and Bioengineering (NIBIB)-National Institutes of Health (NIH) Trailblazer Award

Grant: R21 EB024700

National Institutes of Health

Grant: 1R21EB024700-01A1

Quantitative topographic endoscopy for improved screening of non-polypoid colorectal neoplasms

goldLicense: CC BY

Unpaywallhttps://ieeexplore.ieee.org/ielx7/6287639/9312710/09308912.pdf

Europe_PMChttps://europepmc.org/articles/PMC7978231

Europe_PMChttps://europepmc.org/articles/PMC7978231?pdf=render

https://doi.org/10.1109/access.2020.3047544

https://dx.doi.org/10.48550/arxiv.2009.03162

Fields of Study

02 engineering and technology03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering

Keywords

EndoscopyColonoscopyUnsupervisedSemi-supervisedDomain AdaptationDeep LearningLesion ClassificationJigsawOut-of-distribution DetectionFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionArticleTK1-9971Electrical engineering. Electronics. Nuclear engineering