| 000 | 01515nam a22001817a 4500 | ||
|---|---|---|---|
| 003 | NUST | ||
| 040 | _a0 | ||
| 082 | _a005.1,SHA | ||
| 100 |
_aShafiq, Ridha _9114315 |
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| 245 |
_aDiabetic Retinopathy Detection (Web Based Application) / _cRidha Shafiq, Syeda Saman Fatima, Fatimah Ahmad, Yalmaz Khan |
||
| 264 |
_aMCS, NUST _b Rawalpindi _c2023 |
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| 300 | _axv, 90 p | ||
| 505 | _aThe 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. | ||
| 650 |
_aUG BESE _9114271 |
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| 690 |
_aBESE-25 _9114270 |
||
| 700 |
_aSupervisor Dr. Naima Iltaf _9113008 |
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| 942 |
_2ddc _cPR |
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| 999 |
_c595677 _d595677 |
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