MFI-Net: Multiscale Feature Interaction Network for Retinal Vessel Segmentation

Applications of Deep Learning in Fundus Images: A Review

(2021) Tao Li et al.   MEDICAL IMAGE ANALYSIS

SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation

(2021) Huisi Wu et al.   MEDICAL IMAGE ANALYSIS

DPN: detail-preserving network with high resolution representation for efficient segmentation of retinal vessels

(2021) Song Guo   Journal of Ambient Intelligence and Humanized Computing

LA-Net: A Multi-Task Deep Network for the Segmentation of the Left Atrium

(2021) Fatmatulzehra Uslu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multi-Level Attention Network for Retinal Vessel Segmentation

(2021) Yuchen Yuan et al.   IEEE Journal of Biomedical and Health Informatics

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

(2020) Yicheng Wu et al.   NEURAL NETWORKS

Histopathological Classification of Breast Cancer Images Using a Multi-Scale Input and Multi-Feature Network

(2020) Taimoor Shakeel Sheikh et al.   Cancers

A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification

(2020) Muthu Rama Krishnan Mookiah et al.   MEDICAL IMAGE ANALYSIS

Joint Extraction of Retinal Vessels and Centerlines Based on Deep Semantics and Multi-Scaled Cross-Task Aggregation

(2020) Rui Xu et al.   IEEE Journal of Biomedical and Health Informatics

Accurate Retinal Vessel Segmentation in Color Fundus Images via Fully Attention-Based Networks

(2020) Kaiqi Li et al.   IEEE Journal of Biomedical and Health Informatics

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

Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation

(2019) Toufique Ahmed Soomro et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

Dense Dilated Network With Probability Regularized Walk for Vessel Detection

(2019) Lei Mou 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

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

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

Multi-level deep supervised networks for retinal vessel segmentation

(2017) Juan Mo et al.   International Journal of Computer Assisted Radiology and Surgery

Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores

(2016) Jiong Zhang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

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

An Active Contour Model for Segmenting and Measuring Retinal Vessels

(2009) B. Al-Diri et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Novel Vessel Segmentation Algorithm for Pathological Retina Images Based on the Divergence of Vector Fields

(2008) B.S.Y. Lam et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING