TA-Net: Triple attention network for medical image segmentation

SA-Net: A scale-attention network for medical image segmentation

(2021) Jingfei Hu et al.   PLoS One

Triple Attention Network for Video Segmentation

(2020) Yan Tian et al.   NEUROCOMPUTING

CcNet: A cross-connected convolutional network for segmenting retinal vessels using multi-scale features

(2019) Shouting Feng et al.   NEUROCOMPUTING

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

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

Visual Object Tracking by Hierarchical Attention Siamese Network

(2019) Jianbing Shen et al.   IEEE Transactions on Cybernetics

Retinal blood vessel segmentation using fully convolutional network with transfer learning

(2018) Zhexin Jiang et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Brain CT perfusion improves intracranial vessel occlusion detection on CT angiography

(2018) Marinus J. Becks et al.   JOURNAL OF NEURORADIOLOGY

Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function

(2018) Kai Hu et al.   NEUROCOMPUTING

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

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

A novel retinal vessel detection approach based on multiple deep convolution neural networks

(2018) Yanhui Guo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

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

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

Multi-level deep supervised networks for retinal vessel segmentation

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

Segmenting Retinal Blood Vessels With _newline Deep Neural Networks

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