Fundus image segmentation via hierarchical feature learning

Hard exudate segmentation in retinal image with attention mechanism

(2021) Ze Si et al.   IET Image Processing

A Refined Equilibrium Generative Adversarial Network for Retinal Vessel Segmentation

(2021) Yukun Zhou et al.   NEUROCOMPUTING

Microaneurysms segmentation and diabetic retinopathy detection by learning discriminative representations

(2021) Mhd Hasan Sarhan et al.   IET Image Processing

A high resolution representation network with multi-path scale for retinal vessel segmentation

(2021) Zefang Lin et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A hybrid deep segmentation network for fundus vessels via deep-learning framework

(2021) Lei Yang et al.   NEUROCOMPUTING

Automated Detection and Classification of Fundus Diabetic Retinopathy Images using Synergic Deep Learning Model

(2020) Shankar Kathiresan et al.   PATTERN RECOGNITION LETTERS

Multi-scale channel importance sorting and spatial attention mechanism for retinal vessels segmentation

(2020) Xianlun Tang et al.   APPLIED SOFT COMPUTING

SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors

(2020) Yutong Xie et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Lightweight Attention Convolutional Neural Network for Retinal Vessel Image Segmentation

(2020) Xiang Li et al.   IEEE Transactions on Industrial Informatics

Lightweight Salient Object Detection via Hierarchical Visual Perception Learning

(2020) Yun Liu et al.   IEEE Transactions on Cybernetics

Deep High-Resolution Representation Learning for Visual Recognition

(2020) Jingdong Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

DUNet: A deformable network for retinal vessel segmentation

(2019) Qiangguo Jin et al.   KNOWLEDGE-BASED SYSTEMS

BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation

(2019) Song Guo et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

L-Seg: An end-to-end unified framework for multi-lesion segmentation of fundus images

(2019) Song Guo et al.   NEUROCOMPUTING

GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation

(2019) T. Wollmann et al.   MEDICAL IMAGE ANALYSIS

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

(2019) Zaiwang Gu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Novel Weakly Supervised Multitask Architecture for Retinal Lesions Segmentation on Fundus Images

(2019) Clement Playout et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

(2019) José Ignacio Orlando et al.   MEDICAL IMAGE ANALYSIS

IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge

(2019) Prasanna Porwal et al.   MEDICAL IMAGE ANALYSIS

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

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

Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

(2018) Sara Moccia et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation

(2018) Huazhu Fu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Exudate-based diabetic macular edema recognition in retinal images using cascaded deep residual networks

(2018) Juan Mo et al.   NEUROCOMPUTING

Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

(2018) Ryan Poplin et al.   Nature Biomedical Engineering

Artificial intelligence in retina

(2018) Ursula Schmidt-Erfurth et al.   PROGRESS IN RETINAL AND EYE RESEARCH

A Three-stage Deep Learning Model for Accurate Retinal Vessel Segmentation

(2018) Zengqiang Yan et al.   IEEE Journal of Biomedical and Health Informatics

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

(2017) Jen Hong Tan et al.   INFORMATION SCIENCES

Holistically-Nested Edge Detection

(2017) Saining Xie et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

A novel method for retinal exudate segmentation using signal separation algorithm

(2016) Elaheh Imani et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Red Lesion Detection Using Dynamic Shape Features for Diabetic Retinopathy Screening

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

Segmenting Retinal Blood Vessels With _newline Deep Neural Networks

(2016) Pawel Liskowski et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Unsupervised Retinal Vessel Segmentation Using Combined Filters

(2016) Wendeson S. Oliveira et al.   PLoS One

Deep learning

(2015) Yann LeCun et al.   NATURE

Hierarchical retinal blood vessel segmentation based on feature and ensemble learning

(2015) Shuangling Wang et al.   NEUROCOMPUTING

Exudate detection in color retinal images for mass screening of diabetic retinopathy

(2014) Xiwei Zhang et al.   MEDICAL IMAGE ANALYSIS

TeleOphta: Machine learning and image processing methods for teleophthalmology

(2013) E. Decencière et al.   IRBM

Blood vessel segmentation methodologies in retinal images – A survey

(2012) M.M. Fraz et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

An effective retinal blood vessel segmentation method using multi-scale line detection

(2012) Uyen T.V. Nguyen et al.   PATTERN RECOGNITION

Retinal vessel segmentation using a probabilistic tracking method

(2011) Yi Yin et al.   PATTERN RECOGNITION

Glaucoma risk index:Automated glaucoma detection from color fundus images

(2010) Rüdiger Bock et al.   MEDICAL IMAGE ANALYSIS

Retinal Microvascular Signs May Provide Clues to the Underlying Vasculopathy in Patients With Deep Intracerebral Hemorrhage

(2010) Michelle L. Baker et al.   STROKE

Retinal image analysis based on mixture models to detect hard exudates

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