An Exploration on Deep Learning Approaches for the Detection of Glaucoma-Reference-Cited by-同舟云学术

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An Exploration on Deep Learning Approaches for the Detection of Glaucoma

Published:2021-12-02 Issue: Volume: Page:
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Container-title:2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
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Author:

Sharmila C,Shanthi N.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9675837/9675843/09676159.pdf?arnumber=9676159

Reference41 articles.

1. Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression

2. Retinal Image Analysis for Glaucoma Detection Using Transfer Learning

3. Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis

4. Artificial Intelligence Based Glaucoma Detection

5. Optic Disc and Cup Segmentation Based on Deep Convolutional Generative Adversarial Networks

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Glaucoma Detection using GAN-based Domain Adaptation Approach;2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS);2023-06-14

2. Analysis and Visualization of Eye movements in Patients with Glaucoma;2022 IEEE 7th International Conference on Recent Advances and Innovations in Engineering (ICRAIE);2022-12-01

3. Deep Learning in Retinal Diseases Diagnosis;Machine Learning and AI Techniques in Interactive Medical Image Analysis;2022-09-16

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