ROI DETECTION AND VESSEL SEGMENTATION IN RETINAL IMAGE

dc.authoridATILA, UMIT/0000-0002-1576-9977
dc.contributor.authorSabaz, F.
dc.contributor.authorAtila, U.
dc.date.accessioned2024-09-29T16:09:45Z
dc.date.available2024-09-29T16:09:45Z
dc.date.issued2017
dc.departmentKarabük Üniversitesien_US
dc.description4th International Workshop on Geoinformation Science / 4th ISPRS International Workshop on Multi-Dimensional and Multi-Scale Spatial Data Modeling (GeoAdvances) -- OCT 14-15, 2017 -- Karabuk Univ, Safranbolu Campus, Safranbolu, TURKEYen_US
dc.description.abstractDiabetes disrupts work by affecting the structure of the eye and afterwards leads to loss of vision. Depending on the stage of disease that called diabetic retinopathy, there are sudden loss of vision and blurred vision problems. Automated detection of vessels in retinal images is a useful study to diagnose eye diseases, disease classification and other clinical trials. The shape and structure of the vessels give information about the severity of the disease and the stage of the disease. Automatic and fast detection of vessels allows for a quick diagnosis of the disease and the treatment process to start shortly. ROI detection and vessel extraction methods for retinal image are mentioned in this study. It is shown that the Frangi filter used in image processing can be successfully used in detection and extraction of vessels.en_US
dc.description.sponsorshipInt Soc Photogrammetry & Remote Sensingen_US
dc.identifier.doi10.5194/isprs-archives-XLII-4-W6-85-2017
dc.identifier.endpage89en_US
dc.identifier.issn1682-1750
dc.identifier.issn2194-9034
dc.identifier.issueW6en_US
dc.identifier.scopus2-s2.0-85037343456en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage85en_US
dc.identifier.urihttps://doi.org/10.5194/isprs-archives-XLII-4-W6-85-2017
dc.identifier.urihttps://hdl.handle.net/20.500.14619/7748
dc.identifier.volume42-4en_US
dc.identifier.wosWOS:000568780700021en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherCopernicus Gesellschaft Mbhen_US
dc.relation.ispartof4th International Geoadvances Workshop - Geoadvances 2017: Isprs Workshop On Multi-Dimensional & Multi-Scale Spatial Data Modelingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectVesselen_US
dc.subjectSegmentationen_US
dc.subjectROIen_US
dc.subjectRetinaen_US
dc.subjectExtractionen_US
dc.subjectFrangi Filteren_US
dc.titleROI DETECTION AND VESSEL SEGMENTATION IN RETINAL IMAGEen_US
dc.typeConference Objecten_US

Dosyalar