Self-Improved Beluga whale optimization algorithm based Optimal Trained Deep Maxout Model for Glaucoma Detection-Reference-Cited by-同舟云学术

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Self-Improved Beluga whale optimization algorithm based Optimal Trained Deep Maxout Model for Glaucoma Detection

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

Singh Piyush Bhushan¹,Singh Pawan¹,Dev Harsh²

Affiliation:

1. Amity University,Amity School of Engineering and Technology Lucknow,Department of Computer Science and Engineering,Uttar Pradesh,India

2. Pranveer Singh Institute of Technology,Department of Computer Science and Engineering,Kanpur,Uttar Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10307818.pdf?arnumber=10307818

Reference21 articles.

1. A novel optic disc and optic cup segmentation technique to diagnose glaucoma using deep learning convolutional neural network over retinal fundus images

2. Hybrid feature vector based detection of Glaucoma

3. Beluga whale optimization: A novel nature-inspired metaheuristic algorithm

4. Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image

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

Cited by 1 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 Classification Using Improved Pretrained Model;Lecture Notes in Networks and Systems;2024

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