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Hierarchical Deep Network with Uncertainty-aware Semi-supervised
  Learning for Vessel Segmentation

Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation

31 May 2021
Chenxin Li
Wenao Ma
Liyan Sun
Xinghao Ding
Yue Huang
Guisheng Wang
Yizhou Yu
ArXiv (abs)PDFHTML

Papers citing "Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation"

11 / 11 papers shown
Title
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel
  Segmentation and Artery/Vein Classification
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification
Wenao Ma
Shuang Yu
Kai Ma
Jiexiang Wang
Xinghao Ding
Yefeng Zheng
49
67
0
18 Jul 2020
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left
  Atrium Segmentation
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
Lequan Yu
Shujun Wang
Xuelong Li
Chi-Wing Fu
Pheng-Ann Heng
UQCV
82
850
0
16 Jul 2019
Leveraging Uncertainty Estimates for Predicting Segmentation Quality
Leveraging Uncertainty Estimates for Predicting Segmentation Quality
Terrance Devries
Graham W. Taylor
UQCV
120
114
0
02 Jul 2018
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-
  Supervised Semantic Segmentation
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation
Yunchao Wei
Huaxin Xiao
Humphrey Shi
Zequn Jie
Jiashi Feng
Thomas S. Huang
SSeg
84
545
0
11 May 2018
Liver lesion segmentation informed by joint liver segmentation
Liver lesion segmentation informed by joint liver segmentation
Eugene Vorontsov
A. Tang
Chris Pal
Samuel Kadoury
MedIm
45
116
0
24 Jul 2017
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks
Lei Bi
Jinman Kim
Ashnil Kumar
Dagan Feng
MedIm
58
82
0
10 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDLOODUDUQCVPER
362
4,718
0
15 Mar 2017
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
185
2,566
0
07 Oct 2016
3D Deeply Supervised Network for Automatic Liver Segmentation from CT
  Volumes
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes
Qi Dou
Hao Chen
Yueming Jin
Lequan Yu
J. Qin
Pheng-Ann Heng
MedIm
76
345
0
03 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
836
9,345
0
06 Jun 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
SSeg
109
919
0
09 Feb 2015
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