Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma-Reference-Cited by-同舟云学术

Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma

Published:2018-11 Issue: Volume:110 Page:250-263
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Vinícius dos Santos Ferreira Marcos,Oseas de Carvalho Filho Antonio,Dalília de Sousa Alcilene,Corrêa Silva Aristófanes,Gattass Marcelo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference64 articles.

1. Breast cancer classification using deep belief networks;Abdel-Zaher;Expert Systems with Applications,2016

2. Automatic glaucoma detection using adaptive threshold based technique in fundus image;Agarwal,2015

3. Al-Rfou, R., Alain, G., Almahairi, A., Angermueller, C., Bahdanau, D., Ballas, N., et al. (2016). Theano: A python framework for fast computation of mathematical expressions. CoRRabs/1605.02688, URL http://arxiv.org/abs/1605.02688.

4. Amten, J. (2017). Java (convolutional or fully-connected) neural network. https://github.com/amten/NeuralNetwork. Accessed: 2017-04-30.

5. Learning Opencv: Computer vision with the Opencv library;Bradski,2008

Cited by 60 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 diagnosis in the era of deep learning: A survey;Expert Systems with Applications;2024-12

2. An automatic glaucoma grading method based on attention mechanism and EfficientNet-B3 network;PLOS ONE;2024-08-16

3. Two stage-network: Automatic localization of Optic Disc (OD) and classification of glaucoma in fundus images using deep learning techniques;Multimedia Tools and Applications;2024-06-06

4. Advancements in Glaucoma Diagnosis: The Role of AI in Medical Imaging;Diagnostics;2024-03-01

5. NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data;Computers in Biology and Medicine;2024-03