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Connection Sensitive Attention U-NET for Accurate Retinal Vessel
  Segmentation
v1v2 (latest)

Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation

13 March 2019
Ruirui Li
Mingming Li
Jiacheng Li
Yating Zhou
ArXiv (abs)PDFHTML

Papers citing "Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation"

5 / 5 papers shown
Title
A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from
  Simple Usage to Structure Mortification
A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification
Jian Wu
Wanli Liu
Chen Li
Tao Jiang
Islam Mohammad Shariful
Hongzan Sun
Xiaoqi Li
Xintong Li
Xinyu Huang
M. Grzegorzek
SSeg3DV
67
13
0
14 Feb 2022
Attention, please! A survey of Neural Attention Models in Deep Learning
Attention, please! A survey of Neural Attention Models in Deep Learning
Alana de Santana Correia
Esther Luna Colombini
HAI
118
194
0
31 Mar 2021
End-to-End Deep Learning of Lane Detection and Path Prediction for
  Real-Time Autonomous Driving
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving
Der-Hau Lee
Jinn-Liang Liu
UQCV
97
86
0
09 Feb 2021
Learning-Based Algorithms for Vessel Tracking: A Review
Learning-Based Algorithms for Vessel Tracking: A Review
Dengqiang Jia
Xiahai Zhuang
55
50
0
16 Dec 2020
Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional
  Neural Network
Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network
Yun Jiang
Ning Tan
T. Peng
Hai Zhang
MedIm
18
71
0
11 Apr 2019
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