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Uncertainty guided semi-supervised segmentation of retinal layers in OCT
  images

Uncertainty guided semi-supervised segmentation of retinal layers in OCT images

2 March 2021
S. Sedai
B. Antony
Ravneet Rai
K. Jones
H. Ishikawa
J. Schuman
Gadi Wollstein
R. Garnavi
    UQCV
ArXivPDFHTML

Papers citing "Uncertainty guided semi-supervised segmentation of retinal layers in OCT images"

10 / 10 papers shown
Title
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image
  Segmentation
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
Hanyang Chi
Jian Pang
Bingfeng Zhang
Weifeng Liu
46
10
0
01 May 2024
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D
  Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full
  and Sparse Annotations
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full and Sparse Annotations
Hong Liu
Dong Wei
Donghuan Lu
Xiaoying Tang
Liansheng Wang
Yefeng Zheng
21
9
0
04 Dec 2023
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
46
20
0
09 Oct 2023
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer
  Radiation Treatment from Clinically Available Annotations
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations
Monika Grewal
Dustin van Weersel
H. Westerveld
Peter A. N. Bosman
Tanja Alderliesten
19
2
0
21 Feb 2023
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
34
80
0
05 Oct 2022
Exploring Feature Representation Learning for Semi-supervised Medical
  Image Segmentation
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
Huimin Wu
Xuelong Li
Kwang-Ting Cheng
30
13
0
22 Nov 2021
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with
  Reliable Transfer for Cardiac Segmentation
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation
Kang Li
Shujun Wang
Lequan Yu
Pheng-Ann Heng
67
28
0
07 Jan 2021
Teach me to segment with mixed supervision: Confident students become
  masters
Teach me to segment with mixed supervision: Confident students become masters
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
33
25
0
15 Dec 2020
Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid
  Constrained Semi-Supervised Learning and Dual-UNet
Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning and Dual-UNet
Hongxu Yang
Caifeng Shan
Alexander F. Kolen
Peter H. N. de With
27
26
0
25 Jun 2020
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
287
9,156
0
06 Jun 2015
1