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Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced
  Learning from Noisy Labels with Suggestive Annotation

Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation

27 May 2020
Jingyang Zhang
Guotai Wang
Hongzhi Xie
Shuyang Zhang
Ning Huang
Shaoting Zhang
Lixu Gu
ArXivPDFHTML

Papers citing "Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation"

3 / 3 papers shown
Title
Learning towards Synchronous Network Memorizability and Generalizability
  for Continual Segmentation across Multiple Sites
Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites
Jingyang Zhang
Peng Xue
Ran Gu
Yuning Gu
Mianxin Liu
Yongsheng Pan
Zhiming Cui
Jiawei Huang
Lei Ma
Dinggang Shen
CLL
24
8
0
14 Jun 2022
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery
  Segmentation
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation
Joao Lourencco Silva
M. Menezes
T. Rodrigues
B. Silva
F. Pinto
Arlindo L. Oliveira
MedIm
23
17
0
21 Jun 2021
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
UQCV
BDL
285
9,136
0
06 Jun 2015
1