Automated Identification of Diabetic Retinal Exudates in Digital Colour Images

British Journal of Ophthalmology - United Kingdom
doi 10.1136/bjo.87.10.1220
Full Text
Abstract

Available in full text

Date
Authors
Publisher

BMJ

Related search

Identification of Diabetic Retinal Exudates in Digital Color Images Using Support Vector Machine

Journal of Intelligent Learning Systems and Applications
2013English

Semi-Automated Quantification of Hard Exudates in Colour Fundus Photographs Diagnosed With Diabetic Retinopathy

BMC Ophthalmology
MedicineOphthalmology
2017English

Automatic Detection of Exudates in Diabetic Retinopathy Images

Journal of Computer Science
Computer NetworksSoftwareArtificial IntelligenceCommunications
2012English

Automated Detection of Diabetic Retinopathy on Digital Fundus Images

Diabetic Medicine
Internal MedicineEndocrinologyMetabolismDiabetes
2002English

Automated Analysis of Retinal Images for Detection of Referable Diabetic Retinopathy

JAMA Ophthalmology
Ophthalmology
2013English

Detection of Diabetic Exudates From Color Retinal Image

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
2019English

Digital Retinal Images and Teleophthalmology for Detecting and Grading Diabetic Retinopathy

Diabetes Care
Internal MedicineEndocrinologyAdvancedMetabolismSpecialized NursingDiabetes
2002English

Detection of Hard Exudates Using Simulated Annealing Based Thresholding Mechanism in Digital Retinal Fundus Image

2013English

Automatic Detection of Microaneurysms in Colour Fundus Images for Diabetic Retinopathy Screening

Neural Computing and Applications
Artificial IntelligenceSoftware
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy