ABSTRACT
Diabetes
is a group of metabolic disease in which a person has high blood sugar. Diabetic Retinopathy (DR) is caused by the
abnormalities in the retina due to insufficient insulin in the body. It can lead
to sudden vision loss due to delayed detection of retinopathy. So that Diabetic
patients require regular medical checkup for effective timing of sight saving
treatment. This is continuous and
stimulating research area for automated analysis of Diabetic Retinopathy in
Diabetic patients. A completely automated screening system for the detection of
Diabetic Retinopathy can effectively reduces the burden of the specialist and
saves cost as well as time. Due to noise and other disturbances that occur
during image acquisition Diabetic Retinopathy may lead to false detection and
this is overcome by various image processing techniques. Further the different
features are extracted which serves as the guideline to identify and grade the
severity of the disease. Based on the extracted features classification of the
retinal image as normal or abnormal is carried out. In this paper, we have presented detail study
of various screening methods for Diabetic Retinopathy. Many researchers have
made number of attempts to improve accuracy, productivity, sensitivity and
specificity.
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Contact:
Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +91-7276355704
Email: roshanphelonde@rediffmail.com
i want to buy this project i mailed you sir about that reply me its urgent.
ReplyDeletehi i want this project reply me on avishrivastava@yahoo.co.in if i pay project fees by online payment then how you will give me project.
ReplyDeleteHi, I am Sharath Kumar. My project is image retreival system for which i had extracted the features of an image. Now i want to design retrieval system using neural network can any one help me. pleas help me.this is my email id: saikumar1310@gmail.com.
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