Automated detection of exudates for diabetic retinopathy screening-Reference-Cited by-同舟云学术

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Automated detection of exudates for diabetic retinopathy screening

Published:2007-12-05 Issue:24 Volume:52 Page:7385-7396
ISSN:0031-9155
Container-title:Physics in Medicine and Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Fleming Alan D,Philip Sam,Goatman Keith A,Williams Graeme J,Olson John A,Sharp Peter F

Publisher

IOP Publishing

Subject

Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference21 articles.

1. A fully automated comparative microaneurysm digital detection system

2. Screening for diabetic retinopathy using computer based image analysis and statistical classification

3. Automatic detection of retinal anatomy to assist diabetic retinopathy screening

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1. Segmentation of hard exudate lesions in color fundus image using two-stage CNN-based methods;Expert Systems with Applications;2024-05

2. Identifying Diabetic Retinopathy in the Human Eye: A Hybrid Approach Based on a Computer-Aided Diagnosis System Combined with Deep Learning;Tomography;2024-02-05

3. An Integrated Deep Learning Approach for Computer-Aided Diagnosis of Diverse Diabetic Retinopathy Grading;Engineering Cyber-Physical Systems and Critical Infrastructures;2024

4. Advancing diabetic retinopathy diagnosis with fundus imaging: A comprehensive survey of computer-aided detection, grading and classification methods;Global Transitions;2024

5. Exudate and drusen classification in retinal images using bagged colour vector angles and inter colour local binary patterns;Multimedia Tools and Applications;2023-11-15

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