MD-Net: A multi-scale dense network for retinal vessel segmentation

NFN＋: A novel network followed network for retinal vessel segmentation

(2020) Yicheng Wu et al.   NEURAL NETWORKS

Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation

(2020) Jiahua Dong et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Dense U-net Based on Patch-Based Learning for Retinal Vessel Segmentation

(2019) Chang Wang et al.   Entropy

DUNet: A deformable network for retinal vessel segmentation

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

Joint Segment-level and Pixel-wise Losses for Deep Learning based Retinal Vessel Segmentation

(2018) Zengqiang Yan et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

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

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

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

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images

(2016) Qiaoliang Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation

(2012) Muhammad Moazam Fraz et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING