Web Based Image Processing Application: Rating Diabetes Intensity

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dc.authoridGül, Mehmet/0000-0002-1374-0783
dc.authoridGül, Semir/0000-0002-4668-9603
dc.authoridTalu, Muhammed Fatih/0000-0003-1166-8404
dc.authorwosidGül, Mehmet/ABI-6336-2020
dc.authorwosidGül, Semir/ABI-8244-2020
dc.authorwosidTalu, Muhammed Fatih/W-2834-2017
dc.contributor.authorGunduzalp, Veysel
dc.contributor.authorTalu, M. Fatih
dc.contributor.authorGul, Semir
dc.contributor.authorZayman, Emrah
dc.contributor.authorGul, Mehmet
dc.date.accessioned2024-08-04T21:02:24Z
dc.date.available2024-08-04T21:02:24Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYen_US
dc.description.abstractIn this study, it is A web-based image processing software which has been introduced to process Immunohistochemical images obtaining in experimentally induced diabetic rats and rank the severity of diabetes between the groups. With the software, specialist physicians can upload Images obtaining in rat groups to the system via web on own account, obtain average color intensity and intensity graphs of groups after Determining the basic colors to be evaluated. The software eliminating the subjective evaluation contains mainly three phases in this study, Evaluation of each image content according to basic axes(Three-dimensional projection), Clustering of colors (Expectation maximization method) and Color-axis determination (Calculation of eigenvectors). As a result of, it can be considered that positive results obtained could stimulate Researchers to generalize of the proposed method.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Scien_US
dc.identifier.isbn978-1-5386-1880-6
dc.identifier.urihttps://hdl.handle.net/11616/104717
dc.identifier.wosWOS:000426868700117en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 International Artificial Intelligence and Data Processing Symposium (Idap)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImmunohistochemicalen_US
dc.subjectdiabetesen_US
dc.subjectimage analysisen_US
dc.subjectcondensationen_US
dc.subjectexpectation maximizationen_US
dc.titleWeb Based Image Processing Application: Rating Diabetes Intensityen_US
dc.typeConference Objecten_US

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