A novel deep learning model for diabetic retinopathy detection in retinal fundus images using pre-trained CNN and HWBLSTM-Reference-Cited by-同舟云学术

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A novel deep learning model for diabetic retinopathy detection in retinal fundus images using pre-trained CNN and HWBLSTM

Published:2024-02-19 Issue: Volume: Page:1-19
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Hemanth S. V.¹,Alagarsamy Saravanan²,Rajkumar T. Dhiliphan³

Affiliation:

1. Department of Computer Science and Engineering, Hyderabad Institute of Technology and Management, Hyderabad, India

2. Department of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Rajiv Gandhi Salai (OMR), Kalavakkam, India

3. Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2024.2314269

Reference48 articles.

1. Detection of Diabetic Retinopathy Using Custom CNN to Segment the Lesions

2. Enhancement of Diabetic Retinopathy Prognostication Using Deep Learning, CLAHE, and ESRGAN

3. Diabetic Retinopathy Fundus Image Classification and Lesions Localization System Using Deep Learning

4. Diabetic retinopathy detection through deep learning techniques: A review

5. Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural network

Cited by 2 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. Exploring Machine Learning Models for Predicting Diabetic Retinopathy: A Comprehensive Comparative Study of Logistic Regression an Advanced Technique;International Journal of Innovative Science and Research Technology (IJISRT);2024-08-07

2. Text Generation using Long Short-Term Memory;2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS);2024-03-14

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