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Machine Learning Approach for Biopsy-Based Identification of Eosinophilic Esophagitis Reveals Importance of Global features

IEEE Open Journal of Engineering in Medicine and Biology(2021)10.1109/ojemb.2021.3089552Source: DataRank Database

Machine Learning Approach for Biopsy-Based Identification of Eosinophilic Esophagitis Reveals Importance of Global features is a research paper published in IEEE Open Journal of Engineering in Medicine and Biology (2021). On theSindex it has a DataRank of 0. It has been cited 4 times.

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Open Access4 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (7 grants)OA: goldTopics (26)IDs (PubMed, PMC)SDGs (1)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (8)

Nati Daniel ORCID,Mark Rochman ORCID,Julie M. Caldwell ORCID,G. A. Osswald ORCID,Margaret H. Collins ORCID

Live enrichment

PubMed:34505063 PMC:PMC8425173

American Federation for Aging Research, Israel Science Foundation

Grant: #1619/20

NIH

Grant: R01 AI045898-21

NIDDK NIH HHS

Grant: P30 DK078392

NIAID NIH HHS

Grant: R01 AI045898

National Institutes of Health

Grant: 2R01AI045898-05

Regulation of Gastrointestinal Eosinophilis

CURED Foundation

Dave, and Denise Bunning Sunshine Foundation

goldLicense: CC BY NC ND

publisherhttps://ieeexplore.ieee.org/ielx7/8782705/9299466/09457060.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/8782705/9299466/09457060.pdf?arnumber=9457060

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2021/01/15/2021.01.13.21249763.full.pdf

repositoryhttps://arxiv.org/pdf/2101.04989

repositoryhttp://arxiv.org/pdf/2101.04989.pdf

Fields of Study

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

Keywords

Decision support systemEosinophilic EsophagitisDigital PathologyDeep Convolutional NetworkSmall Features Detection.FOS: Computer and information sciencesComputer Science - Machine LearningComputer Vision and Pattern Recognition (cs.CV)Computer applications to medicine. Medical informaticsR858-859.7Computer Science - Computer Vision and Pattern RecognitionQuantitative Biology - Quantitative MethodsArticleMachine Learning (cs.LG)Medical technologyFOS: Electrical engineering, electronic engineering, information engineeringR855-855.5Quantitative Methods (q-bio.QM)Image and Video Processing (eess.IV)small features detectionElectrical Engineering and Systems Science - Image and Video ProcessingFOS: Biological sciences

Sustainable Development Goals

SDG 3: 3. Good health