Optimized convolutional neural network for glaucoma detection with improved optic-cup segmentation-Reference-Cited by-同舟云学术

Optimized convolutional neural network for glaucoma detection with improved optic-cup segmentation

Published:2023-01 Issue: Volume:175 Page:103328
ISSN:0965-9978
Container-title:Advances in Engineering Software
language:en
Short-container-title:Advances in Engineering Software

Author:

Singh Piyush Bhushan,Singh Pawan,Dev Harsh

Publisher

Elsevier BV

Subject

General Engineering,Software

Reference50 articles.

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2. Detection of glaucoma disease in fundus images based on morphological operation and finite element method;Grace;Biomed Signal Process Control,2020

3. Optic Cup segmentation from retinal fundus images using Glowworm Swarm optimization for glaucoma detection;Pruthi;Biomed Signal Process Control,2020

4. An automated and robust image processing algorithm for glaucoma diagnosis from fundus images using novel blood vessel tracking and bend point detection;Soorya;Int J Med Inform,2017

5. Offline computer-aided diagnosis for Glaucoma detection using fundus images targeted at mobile devices;Martins;Comput Methods Programs Biomed,2020

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