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Diabetic Retinopathy Detection Android App

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dc.contributor.author Shafiq, Ridha
dc.contributor.author Fatima, Syeda Saman
dc.contributor.author Ahmad, Fatimah
dc.contributor.author Khan, Yalmaz
dc.contributor.author Supervised by Dr. Naima Iltaf
dc.date.accessioned 2025-02-11T05:04:44Z
dc.date.available 2025-02-11T05:04:44Z
dc.date.issued 2023-06
dc.identifier.other PCS-461
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/49655
dc.description.abstract The Diabetic Retinopathy Detection Application is a cutting-edge, web-based decision-support system that leverages automated screening to detect DR, which is a significant contributor to early blindness in diabetic patients. The system streamlines the screening process and reduces ophthalmologists' workload by automating the report generation process. The project's scope includes identifying key challenges for DR detection, researching recognition techniques, and implementing the proposed method. The project also aims to transfer important diagnostic, teaching, and research technologies, establish a medical image processing research lab in future, and form an innovative incubation center to address industry-related problems. Ultimately, the Diabetic Retinopathy Detection Application (Retina Doc) aims to reduce the risk of blindness among diabetic patients, especially in remote areas deprived of high-end machines that can detect DR, and save individuals from the consequences of DR. en_US
dc.language.iso en en_US
dc.publisher MCS en_US
dc.title Diabetic Retinopathy Detection Android App en_US
dc.type Project Report en_US


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