An Approach to Automatic Hard Exudate Detection in Retina Color Images by a Telemedicine System Based on the d-Eye Sensor and Image Processing Algorithms

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

(2018) Parham Khojasteh et al.   BMC Ophthalmology

Telemedicine screening of retinal diseases with a handheld portable non-mydriatic fundus camera

(2017) Kai Jin et al.   BMC Ophthalmology

Semi-automated quantification of hard exudates in colour fundus photographs diagnosed with diabetic retinopathy

(2017) Abhilash Goud Marupally et al.   BMC Ophthalmology

A novel Gaussian matched filter based on entropy minimization for automatic segmentation of coronary angiograms

(2016) Ivan Cruz-Aceves et al.   COMPUTERS & ELECTRICAL ENGINEERING

Diabetic macular morphology changes may occur in the early stage of diabetes

(2016) Yanwei Chen et al.   BMC Ophthalmology

Automatic Detection of Blood Vessels in Retinal Images for Diabetic Retinopathy Diagnosis

(2015) D. Siva Sundhara Raja et al.   Computational and Mathematical Methods in Medicine

Progress on retinal image analysis for age related macular degeneration

(2013) Yogesan Kanagasingam et al.   PROGRESS IN RETINAL AND EYE RESEARCH

Retinal Identification Based on an Improved Circular Gabor Filter and Scale Invariant Feature Transform

(2013) Xianjing Meng et al.   SENSORS

A novel method for blood vessel detection from retinal images

(2010) Lili Xu et al.   Biomedical Engineering Online

An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection

(2010) Marwan D. Saleh et al.   JOURNAL OF DIGITAL IMAGING

Neural network based detection of hard exudates in retinal images

(2008) María García et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE