An Intelligent Segmentation and Diagnosis Method for Diabetic Retinopathy Based on Improved U-NET Network

A Novel Distributed Multitask Fuzzy Clustering Algorithm for Automatic MR Brain Image Segmentation

(2019) Yizhang Jiang et al.   JOURNAL OF MEDICAL SYSTEMS

An ensemble deep learning based approach for red lesion detection in fundus images

(2018) José Ignacio Orlando et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images

(2018) Lei Zhou et al.   IET Image Processing

Deep Semantic Segmentation of Kidney and Space-Occupying Lesion Area Based on SCNN and ResNet Models Combined with SIFT-Flow Algorithm

(2018) Kai-jian Xia et al.   JOURNAL OF MEDICAL SYSTEMS

Automatic recognition of severity level for diagnosis of diabetic retinopathy using deep visual features

(2017) Qaisar Abbas et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Automated Identification of Diabetic Retinopathy Using Deep Learning

(2017) Rishab Gargeya et al.   OPHTHALMOLOGY

Red Lesion Detection Using Dynamic Shape Features for Diabetic Retinopathy Screening

(2016) Lama Seoud et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Identification of novel proliferative diabetic retinopathy related genes on protein–protein interaction network

(2016) Jian Zhang et al.   NEUROCOMPUTING

Automatic detection of microaneurysms in colour fundus images for diabetic retinopathy screening

(2015) Sarni Suhaila Rahim et al.   NEURAL COMPUTING & APPLICATIONS

Fundus Image Mosaicking for Information Augmentation in Computer-Assisted Slit-Lamp Imaging

(2014) Rogerio Richa et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Diagnosis of diabetic retinopathy by employing image processing technique to detect exudates in retinal images

(2014) Sundararaj Wilfred Franklin et al.   IET Image Processing

Computer-aided diabetic retinopathy detection using trace transforms on digital fundus images

(2014) Karthikeyan Ganesan et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Evolutionary algorithm based classifier parameter tuning for automatic diabetic retinopathy grading: A hybrid feature extraction approach

(2012) M.R.K. Mookiah et al.   KNOWLEDGE-BASED SYSTEMS

Analysis of retinal fundus images for grading of diabetic retinopathy severity

(2011) M. H. Ahmad Fadzil et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Identification of different stages of diabetic retinopathy using retinal optical images

(2007) Wong Li Yun et al.   INFORMATION SCIENCES