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Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable
  Vessel Segmentation

Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable Vessel Segmentation

7 May 2022
Mingchao Li
Kun Huang
Zetian Zhang
Xiao Ma
Qiang Chen
ArXivPDFHTML

Papers citing "Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable Vessel Segmentation"

5 / 5 papers shown
Title
Blood vessel segmentation in en-face OCTA images: a frequency based
  method
Blood vessel segmentation in en-face OCTA images: a frequency based method
Anna Breger
Felix Goldbach
Bianca S. Gerendas
U. Schmidt-Erfurth
Martin Ehler
19
7
0
13 Sep 2021
Semantic Segmentation with Labeling Uncertainty and Class Imbalance
Semantic Segmentation with Labeling Uncertainty and Class Imbalance
P. O. Bressan
J. M. Junior
J. Martins
D. Gonçalves
Daniel Matte Freitas
...
J. Silva
Zhipeng Luo
Jonathan Li
R. García
W. Gonçalves
UQCV
SSeg
53
38
0
08 Feb 2021
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New
  Model
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
Yuhui Ma
Huaying Hao
Huazhu Fu
Jiong Zhang
Jianlong Yang
Jiang-Dong Liu
Yalin Zheng
Yitian Zhao
53
214
0
10 Jul 2020
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
BDL
OOD
UD
UQCV
PER
346
4,700
0
15 Mar 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
76,917
0
18 May 2015
1