Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms

A generalized method for the segmentation of exudates from pathological retinal fundus images

(2018) Jaskirat Kaur et al.   Biocybernetics and Biomedical Engineering

Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network

(2017) Jen Hong Tan et al.   INFORMATION SCIENCES

Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images

(2016) Mark J. J. P. van Grinsven et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Fully automated diabetic retinopathy screening using morphological component analysis

(2015) Elaheh Imani et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Referral system for hard exudates in eye fundus

(2015) Syed Ali Gohar Naqvi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

(2014) M. Usman Akram et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

DREAM: Diabetic Retinopathy Analysis Using Machine Learning

(2014) Sohini Roychowdhury et al.   IEEE Journal of Biomedical and Health Informatics

Computer-aided diagnosis of diabetic retinopathy: A review

(2013) Muthu Rama Krishnan Mookiah et al.   COMPUTERS IN BIOLOGY AND MEDICINE

TeleOphta: Machine learning and image processing methods for teleophthalmology

(2013) E. Decencière et al.   IRBM

Splat Feature Classification With Application to Retinal Hemorrhage Detection in Fundus Images

(2012) Li Tang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Retinal Microaneurysm Detection Through Local Rotating Cross-Section Profile Analysis

(2012) Istvan Lazar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters

(2011) U. Rajendra Acharya et al.   JOURNAL OF MEDICAL SYSTEMS

Exudate-based diabetic macular edema detection in fundus images using publicly available datasets

(2011) Luca Giancardo et al.   MEDICAL IMAGE ANALYSIS

Multiscale AM-FM Methods for Diabetic Retinopathy Lesion Detection

(2010) C. Agurto et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Study on Hemorrhage Detection Using Hybrid Method in Fundus Images

(2010) Jang Pyo Bae et al.   JOURNAL OF DIGITAL IMAGING

Assessment of four neural network based classifiers to automatically detect red lesions in retinal images

(2010) María García et al.   MEDICAL ENGINEERING & PHYSICS

A coarse-to-fine strategy for automatically detecting exudates in color eye fundus images

(2009) Daniel Welfer et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Global estimates of the prevalence of diabetes for 2010 and 2030

(2009) J.E. Shaw et al.   DIABETES RESEARCH AND CLINICAL PRACTICE

Retinal image analysis based on mixture models to detect hard exudates

(2009) Clara I. Sánchez et al.   MEDICAL IMAGE ANALYSIS

Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods

(2008) Akara Sopharak et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs

(2008) G. Quellec et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING