Web based image processing application: Rating diabetes intensity

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dc.authorscopusid57200138310
dc.authorscopusid35732416100
dc.authorscopusid8294895600
dc.authorscopusid57198503209
dc.authorscopusid55807973900
dc.contributor.authorGündüzalp V.
dc.contributor.authorTalu M.F.
dc.contributor.authorGül S.
dc.contributor.authorZayman E.
dc.contributor.authorGül M.
dc.date.accessioned2024-08-04T20:03:56Z
dc.date.available2024-08-04T20:03:56Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017 -- 16 September 2017 through 17 September 2017 -- 115012en_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. © 2017 IEEE.en_US
dc.identifier.doi10.1109/IDAP.2017.8090277
dc.identifier.isbn9781538618806
dc.identifier.scopus2-s2.0-85039915976en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/IDAP.2017.8090277
dc.identifier.urihttps://hdl.handle.net/11616/92228
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIDAP 2017 - International Artificial Intelligence and Data Processing Symposiumen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCondensationen_US
dc.subjectDiabetesen_US
dc.subjectExpectation maximizationen_US
dc.subjectImage analysisen_US
dc.subjectImmunohistochemicalen_US
dc.titleWeb based image processing application: Rating diabetes intensityen_US
dc.title.alternativeWeb tabanli bir görüntü işleme uygulamasi: Diyabet şiddetini derecelendirmeen_US
dc.typeConference Objecten_US

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