Glaucoma detection using novel perceptron based convolutional multi-layer neural network classification

Author:

Mansour Romany F.ORCID,Al-Marghilnai Abdulsamad

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software

Cited by 10 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. Using Multi-Layer Perceptron Driven Diagnosis to Compare Biomarkers for Primary Open Angle Glaucoma;Investigative Ophthalmology & Visual Science;2024-09-09

2. An efficient framework for optic disk segmentation and classification of Glaucoma on fundus images;Biomedical Signal Processing and Control;2024-03

3. Convolutional Neural Network Based Glaucoma Detection and Classification using Optic Disc Localization;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

4. Precise Localization of Optic Disc Region for Accurate Glaucoma Diagnosis Using Deep Reinforcement Learning;2023 International Conference on Innovations in Engineering and Technology (ICIET);2023-07-13

5. Self-Improved Beluga whale optimization algorithm based Optimal Trained Deep Maxout Model for Glaucoma Detection;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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