Texture Feature Analysis of Digital Fundus Images for Early Detection of Diabetic Retinopathy-Reference-Cited by-同舟云学术

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Texture Feature Analysis of Digital Fundus Images for Early Detection of Diabetic Retinopathy

Published:2014-08 Issue: Volume: Page:
ISSN:
Container-title:2014 11th International Conference on Computer Graphics, Imaging and Visualization
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Author:

Ashraf Muhammad Nadeem,Habib Zulfiqar,Hussain Muhammad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6909093/6934098/06934121.pdf?arnumber=6934121

Cited by 26 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. Automated detection of diabetic retinopathy from gray-scale fundus images using GLCM and GLRLM-based textural features—a comparative study;Intelligent Computing Techniques in Biomedical Imaging;2025

2. A Systematic Review on Fundus Image-Based Diabetic Retinopathy Detection and Grading: Current Status and Future Directions;IEEE Access;2024

3. Identifying the Key Components in ResNet-50 for Diabetic Retinopathy Grading from Fundus Images: A Systematic Investigation;Diagnostics;2023-05-09

4. Retinal Blood Vessel Segmentation Based on Modified CNN and Analyze the Perceptional Quality of Segmented Images;Communications in Computer and Information Science;2023

5. Explanable CAD System for Early Detection of Diabetic Eye Diseases: A Review;Intelligent Control, Robotics, and Industrial Automation;2023

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