Segmentation of diabetic retinopathy images using deep feature fused residual with U-Net

Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy

(2023) Minhaj Alam et al.   Journal of Clinical Medicine

MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation

(2023) Haonan Wang et al.   Health Information Science and Systems

A Novel Approach for Diabetic Retinopathy Screening Using Asymmetric Deep Learning Features

(2023) Pradeep Kumar Jena et al.   Big Data and Cognitive Computing

Simultaneous multiclass retinal lesion segmentation using fully automated RILBP-YNet in diabetic retinopathy

(2023) P. Geetha Pavani et al.   Biomedical Signal Processing and Control

RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation

(2022) Shiqi Huang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Retinal Blood Vessels and Optic Disc Segmentation Using U-Net

(2022) S. Alex David et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Multithreshold Image Segmentation Technique Using Remora Optimization Algorithm for Diabetic Retinopathy Detection from Fundus Images

(2022) V. Desika Vinayaki et al.   NEURAL PROCESSING LETTERS

DilUnet: A U-net based architecture for blood vessels segmentation

(2022) Snawar Hussain et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Attention-inception-based U-Net for retinal vessel segmentation with advanced residual

(2022) Huadeng Wang et al.   COMPUTERS & ELECTRICAL ENGINEERING

A deep data‐driven approach for enhanced segmentation of blood vessel for diabetic retinopathy

(2022) Nirmal Yadav   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives

(2022) Swagata Kundu et al.   JOURNAL OF DIGITAL IMAGING

The Augmentation Data of Retina Image for Blood Vessel Segmentation Using U-Net Convolutional Neural Network Method

(2022) Erwin et al.   International Journal of Computational Intelligence and Applications

AI-Based Automatic Detection and Classification of Diabetic Retinopathy Using U-Net and Deep Learning

(2022) Anas Bilal et al.   Symmetry-Basel

A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model

(2022) Carlos Santos et al.   SENSORS

Three-Dimensional Semantic Segmentation of Diabetic Retinopathy Lesions and Grading Using Transfer Learning

(2022) Natasha Shaukat et al.   Journal of Personalized Medicine

An improved U-net based retinal vessel image segmentation method

(2022) Kan Ren et al.   Heliyon

Multi-layer segmentation of retina OCT images via advanced U-net architecture

(2022) N. Man et al.   NEUROCOMPUTING

Smart assessment and forecasting framework for healthy development index in urban cities

(2022) Qiao Li et al.   CITIES

A DQN-Based Frame Aggregation and Task Offloading Approach for Edge-Enabled IoMT

(2022) Xiaoming Yuan et al.   IEEE Transactions on Network Science and Engineering

Hard exudate segmentation in retinal image with attention mechanism

(2021) Ze Si et al.   IET Image Processing

Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy

(2021) Sraddha Das et al.   Biomedical Signal Processing and Control

EAD-Net: A Novel Lesion Segmentation Method in Diabetic Retinopathy Using Neural Networks

(2021) Cheng Wan et al.   DISEASE MARKERS

Optic disc segmentation by U-net and probability bubble in abnormal fundus images

(2021) Yinghua Fu et al.   PATTERN RECOGNITION

Simple methods for the lesion detection and severity grading of diabetic retinopathy by image processing and transfer learning

(2021) Ayaka Sugeno et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Edge-aware U-net with gated convolution for retinal vessel segmentation

(2021) Yu Zhang et al.   Biomedical Signal Processing and Control

DMENet: Diabetic Macular Edema diagnosis using Hierarchical Ensemble of CNNs

(2020) Rajeev Kumar Singh et al.   PLoS One

Automatic diagnosis of diabetic retinopathy with the aid of adaptive average filtering with optimized deep convolutional neural network

(2020) TV Roshini et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Multi-Path Recurrent U-Net Segmentation of Retinal Fundus Image

(2020) Yun Jiang et al.   Applied Sciences-Basel

Fast and Automated Hyperreflective Foci Segmentation Based on Image Enhancement and Improved 3D U-Net in SD-OCT Volumes with Diabetic Retinopathy

(2020) Sha Xie et al.   Translational Vision Science & Technology

Modified U-Net architecture for semantic segmentation of diabetic retinopathy images

(2020) Nitigya Sambyal et al.   Biocybernetics and Biomedical Engineering

A Multi-Scale Feature Fusion Method Based on U-Net for Retinal Vessel Segmentation

(2020) Dan Yang et al.   Entropy

Self attention convolutional neural network with time series imaging based feature extraction for transmission line fault detection and classification

(2020) Shahriar Rahman Fahim et al.   ELECTRIC POWER SYSTEMS RESEARCH

Automatic Diabetic Retinopathy Grading via Self-Knowledge Distillation

(2020) Ling Luo et al.   Electronics

DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image

(2020) Md. Kamrul Hasan et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

A Multi-Scale Residual Attention Network for Retinal Vessel Segmentation

(2020) Yun Jiang et al.   Symmetry-Basel

A coarse-to-fine deep learning framework for optic disc segmentation in fundus images

(2019) Lei Wang et al.   Biomedical Signal Processing and Control

Hyper‐reflective Foci Segmentation in SD ‐ OCT Retinal Images with Diabetic Retinopathy using Deep Convolutional Neural Networks

(2019) Chenchen Yu et al.   MEDICAL PHYSICS

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

(2019) Qianjin Li et al.   JOURNAL OF MEDICAL SYSTEMS

IDF Diabetes Atlas: A review of studies utilising retinal photography on the global prevalence of diabetes related retinopathy between 2015 and 2018

(2019) R.L. Thomas et al.   DIABETES RESEARCH AND CLINICAL PRACTICE

Diabetic retinopathy detection using red lesion localization and convolutional neural networks

(2019) Gabriel Tozatto Zago et al.   COMPUTERS IN BIOLOGY AND MEDICINE

CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

(2019) Xiaomeng Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING