Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/6684
Title: | Diabetic Retinopathy Detection |
Authors: | Shah, Juhi |
Keywords: | Computer 2014 Project Report 2014 Computer Project Report Project Report 14MCEI 14MCEI22 INS INS 2014 CE (INS) |
Issue Date: | 1-Jun-2016 |
Publisher: | Institute of Technology |
Series/Report no.: | 14MCEI22; |
Abstract: | Diabetes is a disease which occurs when the pancreas does not secrete enough insulin or the body is unable to process it properly. This disease in uences gradually the blood circulatory system including that of the retina. As diabetes advances, the vision of a patient may begin to fall apart and lead to Diabetic Retinopathy (DR). The focus of the thesis is to detect DR using deep learning techniques. To be specific, convolution neural network is used to detect presence or absence of Microaneurysms(MA). |
URI: | http://hdl.handle.net/123456789/6684 |
Appears in Collections: | Dissertation, CE (INS) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
14MCEI22.pdf | 14MCEI22 | 494.75 kB | Adobe PDF | ![]() View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.