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:
File | Description | Size | Format | |
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abstract meenu garg.pdf | Attached File | 138.76 kB | Adobe PDF | View/Open |
chapter 1 meenu garg.pdf | 712.71 kB | Adobe PDF | View/Open | |
chapter 2 meeenu garg.pdf | 564.94 kB | Adobe PDF | View/Open | |
chapter 3 meenu garg.pdf | 532.07 kB | Adobe PDF | View/Open | |
chapter 4 meenu garg.pdf | 1.13 MB | Adobe PDF | View/Open | |
chapter 5 meenu garg.pdf | 2.26 MB | Adobe PDF | View/Open | |
chapter 6 meenu garg.pdf | 139.18 kB | Adobe PDF | View/Open | |
declarations of thesis meenu garg_1410951029.pdf | 456.65 kB | Adobe PDF | View/Open | |
references meenu garg.pdf | 341.54 kB | Adobe PDF | View/Open | |
title page.pdf | 8.51 kB | Adobe PDF | View/Open |
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