Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/19478
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dc.contributor.authorHassan, Soyba Mustafa Ali-
dc.contributor.authorZain, Essra Mohammed-
dc.contributor.authorHassan, Alaa Esam Eldeen-
dc.contributor.authorSupervisor-, Zainab Adam Mustafa-
dc.date.accessioned2017-12-20T12:10:46Z-
dc.date.available2017-12-20T12:10:46Z-
dc.date.issued2017-10-01-
dc.identifier.citationHassan, Soyba Mustafa Ali.Automatic Detection of Diabetic Retinopathy (DR) Image/Soyba Mustafa Ali Hassan,Essra Mohammed Zain,Alaa Esam Eldeen Hassan;Zainab Adam Mustafa.-Khartoum : Sudan University of Science and Technology, College of Engineering,2017.-57p. :ill;28cm.- Bachelors search.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/19478-
dc.descriptionBachelors searchen_US
dc.description.abstractDiagnosis and treatment of the retina images which capturing by fundus camera, This images are to be processed for better diagnosis and treatment by certain features. This project analysis of color retinal images acquired through fundus camera from patients treated for DR . Results show the accuracy for image base classification of normalities and abnormalities due to DR which help in early detection and therapy .en_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectDiabeticen_US
dc.subject(DR) Imageen_US
dc.subjectAutomatic Detection of Diabetic Retinopathy (DR) Imageen_US
dc.titleAutomatic Detection of Diabetic Retinopathy (DR) Imageen_US
dc.title.alternativeالكشف التلقائ لشبكية مرضى السكري بواسطة معالجة الصور الرقميةen_US
dc.typeThesisen_US
Appears in Collections:Bachelor of Engineering

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