Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/245232
Title: Novel Technique Based on Pixel Level Snakes for Automated Retinal Vessel Segmentation and Vascular Feature Analysis for Detecting Retinal Abnormalities
Researcher: Meenu Garg
Guide(s): Sheifali Gupta
Keywords: Engineering and Technology,Engineering,Engineering Electrical and Electronic
University: Chitkara University, Punjab
Completed Date: 2019
Abstract: Recent studies suggest that changes or abnormalities found in human retinal vasculature have a strong correlation with various disorders such as cardiovascular diseases, hypertension, diabetes, stroke, and arteriosclerosis. So, the accurate extraction of retinal vasculature map is an important task for getting the information about these diseases. This retinal vasculature map is further used for the assessment of various retinal vascular attributes like length, diameter, width, tortuosity, and branching angle. Small changes in these vascular attributes may produce different pathological disorders which may further cause blindness. newline
Pagination: 
URI: http://hdl.handle.net/10603/245232
Appears in Departments:Faculty of Electronics

Files in This Item:
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abstract meenu garg.pdfAttached File138.76 kBAdobe PDFView/Open
chapter 1 meenu garg.pdf712.71 kBAdobe PDFView/Open
chapter 2 meeenu garg.pdf564.94 kBAdobe PDFView/Open
chapter 3 meenu garg.pdf532.07 kBAdobe PDFView/Open
chapter 4 meenu garg.pdf1.13 MBAdobe PDFView/Open
chapter 5 meenu garg.pdf2.26 MBAdobe PDFView/Open
chapter 6 meenu garg.pdf139.18 kBAdobe PDFView/Open
declarations of thesis meenu garg_1410951029.pdf456.65 kBAdobe PDFView/Open
references meenu garg.pdf341.54 kBAdobe PDFView/Open
title page.pdf8.51 kBAdobe PDFView/Open


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