Fundus image lesion detection algorithm for diabetic retinopathy screening

Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening

(2019) Tao Li et al.   INFORMATION SCIENCES

Robust retinal blood vessel segmentation using convolutional neural network and support vector machine

(2019) Kishore Balasubramanian et al.   Journal of Ambient Intelligence and Humanized Computing

Exudate characterization to diagnose diabetic retinopathy using generalized method

(2019) R. Valarmathi et al.   Journal of Ambient Intelligence and Humanized Computing

Automatic Detection of Retinal Lesions for Screening of Diabetic Retinopathy

(2018) Sudeshna Sil Kar et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Color Retinal Image Enhancement Based on Luminosity and Contrast Adjustment

(2018) Mei Zhou et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Retinal Microaneurysms Detection Using Local Convergence Index Features

(2018) Behdad Dashtbozorg et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Optic disc segmentation and classification in color fundus images: a resource-aware healthcare service in smart cities

(2018) Hidayat Ullaha et al.   Journal of Ambient Intelligence and Humanized Computing

Automatic Detection of Exudates in Digital Color Fundus Images Using Superpixel Multi-Feature Classification

(2017) Wei Zhou et al.   IEEE Access

Prevalence of diabetic retinopathy in India: The All India Ophthalmological Society Diabetic Retinopathy Eye Screening Study 2014

(2016) SalilS Gadkari et al.   INDIAN JOURNAL OF OPHTHALMOLOGY

Leveraging Multiscale Hessian-Based Enhancement With a Novel Exudate Inpainting Technique for Retinal Vessel Segmentation

(2016) Roberto Annunziata et al.   IEEE Journal of Biomedical and Health Informatics

A Multiscale Optimization Approach to Detect Exudates in the Macula

(2014) Carla Agurto et al.   IEEE Journal of Biomedical and Health Informatics

Detection and classification of retinal lesions for grading of diabetic retinopathy

(2013) M. Usman Akram et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Global Prevalence and Major Risk Factors of Diabetic Retinopathy

(2012) J. W. Y. Yau et al.   DIABETES CARE

Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution

(2012) Shih-Chia Huang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Automatic detection of exudates and optic disk in retinal images using curvelet transform

(2012) M. Esmaeili et al.   IET Image Processing

A Computational-Intelligence-Based Approach for Detection of Exudates in Diabetic Retinopathy Images

(2009) A. Osareh et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs

(2009) Meindert Niemeijer et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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