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| dc.contributor.author | Irtiza, Syed Muhammad Reg # 45938 | |
| dc.contributor.author | Khani, Aliza Reg # 45895 | |
| dc.date.accessioned | 2020-09-17T02:19:55Z | |
| dc.date.available | 2020-09-17T02:19:55Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/10181 | |
| dc.description | Supervised by Komal Fatima | en_US |
| dc.description.abstract | Diabetic retinopathy (DR) is a serious issue found among people with diabetes which cause severe damage to retina of eye and may lead to complete blindness. Diagnosis of diabetic retinopathy in early stages may be treated to avoid complete blindness. The objective ofthis project is to develop a system which will classify images into five stages of retinopathy by recognizing image features. The algorithm we are using in it is SVM. The main advantage of this technique is that it provides extraction and detection of features that are suitable for disease recognition in eye images. The system will be able to serve the automatic detection of blindness due to diabetes at the early stages. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.relation.ispartofseries | BS IT;MFN BS 19 | |
| dc.title | BLINDNESS DETECTION | en_US |
| dc.type | Thesis | en_US |
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BS-IT (BUKC) [60]