Automatic detection of retinal exudates in fundus images of diabetic retinopathy patients

Author:

Partovi Mahsa,Rasta Seyed Hossein,Javadzadeh Alireza

Publisher

Maad Rayan Publishing Company

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference13 articles.

1. A comparative study on preprocessing techniques in diabetic retinopathy retinal images: illumination correction and contrast enhancement;Rasta SH;J Med Signals Sens,2015

2. Retinal Image Segmentation by using Gradient Descent Method

3. Localization of optic disc in retinal images by using an efficient K-means clustering algorithm;Sharma A;International Journal of Industrial Electronics and Electrical Engineering,2014

4. Automatic detection of retinal exudates using a support vector machine;Wisaeng K;Applied Medical Informatics,2013

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3. Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods;Artificial Intelligence Review;2022-04-26

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5. Diagnostic System for Detection of Diabetic Retinopathy Severity Diseases;2021 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON);2021-12-04

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