An Efficient and Light Weight Deep Learning Model for Accurate Retinal Vessels Segmentation
Author:
Affiliation:
1. Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia
2. College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia
Funder
Deputyship for Research and Innovation, Ministry of Education, Saudi Arabia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/09931724.pdf?arnumber=9931724
Reference51 articles.
1. Comparative Analysis of Vessel Segmentation Techniques in Retinal Images
2. A Multi-Scale Directional Line Detector for Retinal Vessel Segmentation
3. An Unsupervised Retinal Vessel Segmentation Using Hessian and Intensity Based Approach
4. Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
5. Retinal Vessels Segmentation Techniques and Algorithms: A Survey
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