Exudates detection in fundus images using mean-shift segmentation and adaptive thresholding-Reference-Cited by-同舟云学术

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Exudates detection in fundus images using mean-shift segmentation and adaptive thresholding

Published:2018-04-23 Issue:2 Volume:7 Page:145-153
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Elbalaoui Abderrahmane¹,Fakir Mohamed¹

Affiliation:

1. FST, Sultan Moulay Slimane University, Beni Mellal, Morocco

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2018.1463175

Reference26 articles.

1. Automated detection of exudates in colored retinal images for diagnosis of diabetic retinopathy

2. Automated detection of exudates and macula for grading of diabetic macular edema

3. Automated Detection of Dark and Bright Lesions in Retinal Images for Early Detection of Diabetic Retinopathy

4. Statistical atlas based exudate segmentation

5. Improvement of the Hard Exudates Detection Method Used For Computer- Aided Diagnosis of Diabetic Retinopathy

Cited by 5 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. Computer-Aided Diagnosis of Diabetic Retinopathy Lesions Based on Knowledge Distillation in Fundus Images;Mathematics;2024-08-17

2. Decorrelation stretch for enhancing colour fundus photographs affected by cataracts;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-11-02

3. Nucleus image segmentation method based on GAN and FCN model;Soft Computing;2021-12-01

4. A Novel IR Analyzer Based Property Extraction for Segmented Branch Retinal Artery Occlusion and GWO-CNN Based Classification – An Ophthalmic Outcome;IETE Journal of Research;2021-02-22

5. Fuzzy C-means for Diabetic Retinopathy Lesion Segmentation;Computational Vision and Bio-Inspired Computing;2021

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