Diabetic retinopathy detection and classification using hybrid feature set-Reference-Cited by-同舟云学术

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Diabetic retinopathy detection and classification using hybrid feature set

Published:2018-09 Issue:9 Volume:81 Page:990-996
ISSN:1059-910X
Container-title:Microscopy Research and Technique
language:en
Short-container-title:Microsc Res Tech

Author:

Amin Javeria¹,Sharif Muhammad²,Rehman Amjad³^ORCID,Raza Mudassar²,Mufti Muhammad Rafiq⁴

Affiliation:

1. Department of Computer ScienceUniversity of WahPakistan

2. Department of Computer ScienceCOMSATS University Islamabad Wah Campus Pakistan

3. College of Computer and Information Systems, Al‐Yamamah University Riyadh 11512 Saudi Arabia

4. Department of Computer ScienceCOMSATS Institute of Information Technology Vehari Pakistan

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jemt.23063

Reference46 articles.

1. Automated diabetic macular edema (DME) grading system using DWT, DCT Features and maculopathy index

2. Decision Support System for Detection of Papilledema through Fundus Retinal Images

3. Arteriovenous ratio and papilledema based hybrid decision support system for detection and grading of hypertensive retinopathy

4. Detection and classification of retinal lesions for grading of diabetic retinopathy

5. A Review on Recent Developments for Detection of Diabetic Retinopathy

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1. Ant Lion Optimizer with Deep Transfer Learning Model for Diabetic Retinopathy Grading on Retinal Fundus Images;Proceedings of Congress on Control, Robotics, and Mechatronics;2023-11-10

2. Comparative study of different machine learning models for automatic diabetic retinopathy detection using fundus image;Multimedia Tools and Applications;2023-09-26

3. Automatic Detection of Diabetic Hypertensive Retinopathy in Fundus Images Using Transfer Learning;Applied Sciences;2023-04-07

4. Classification and Segmentation of Diabetic Retinopathy: A Systemic Review;Applied Sciences;2023-02-28

5. A deep feature fusion and selection‐based retinal eye disease detection from OCT images;Expert Systems;2023-01-17

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