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Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised
  Medical Image Segmentation

Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation

5 December 2021
Yichi Zhang
Rushi Jiao
Qingcheng Liao
Dongyang Li
Jicong Zhang
ArXivPDFHTML

Papers citing "Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation"

12 / 12 papers shown
Title
A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans
A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans
Jun Li
Yuyao Zhang
Haibo Shi
Minhong Li
Qiwei Li
Xiaohua Qian
MedIm
34
0
0
03 May 2025
Segmenting Medical Images with Limited Data
Segmenting Medical Images with Limited Data
Zhaoshan Liua
Qiujie Lv
Chau Hung Lee
L. Shen
59
11
0
12 Jul 2024
Enhancing the Reliability of Segment Anything Model for Auto-Prompting
  Medical Image Segmentation with Uncertainty Rectification
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
Yichi Zhang
Shiyao Hu
Sijie Ren
Chen Jiang
Yuan Cheng
Yuan Qi
MedIm
20
3
0
17 Nov 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
41
20
0
09 Oct 2023
Point-supervised Single-cell Segmentation via Collaborative Knowledge
  Sharing
Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing
Ji Yu
19
5
0
20 Apr 2023
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
29
152
0
28 Jul 2022
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis
  from Lung CT Scans with Multi-Scale Guided Dense Attention
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention
Guotai Wang
Shuwei Zhai
G. Lasio
Baoshe Zhang
B. Yi
Shifeng Chen
T. MacVittie
Dimitris N. Metaxas
Jinghao Zhou
Shaoting Zhang
MedIm
50
66
0
29 Sep 2021
Deep Learning methods for automatic evaluation of delayed
  enhancement-MRI. The results of the EMIDEC challenge
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
A. Lalande
Zhihao Chen
T. Pommier
Thomas Decourselle
Abdul Qayyum
...
Yichi Zhang
Lihao Liu
Xiahai Zhuang
R. Couturier
F. Mériaudeau
40
42
0
09 Aug 2021
Exploiting Shared Knowledge from Non-COVID Lesions for
  Annotation-Efficient COVID-19 CT Lung Infection Segmentation
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation
Yichi Zhang
Qingcheng Liao
Lin Yuan
He Zhu
Jiezhen Xing
Jicong Zhang
49
23
0
31 Dec 2020
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
295
10,618
0
19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 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
UQCV
BDL
285
9,138
0
06 Jun 2015
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