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Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised
  Learning for Segmentation of Prostate Zones and Beyond

Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond

8 April 2021
Anneke Meyer
Suhita Ghosh
D. Schindele
M. Schostak
Sebastian Stober
C. Hansen
Marko Rak
ArXivPDFHTML

Papers citing "Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond"

5 / 5 papers shown
Title
AI-based Automatic Segmentation of Prostate on Multi-modality Images: A
  Review
AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review
Rui Jin
Derun Li
Dehui Xiang
Lei Zhang
Hailing Zhou
Fei Shi
Weifang Zhu
Jing Cai
Tao Peng
Xinjian Chen
44
0
0
09 Jul 2024
PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using
  co-training Motivated Multi-task Dual-Path CNN
PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using co-training Motivated Multi-task Dual-Path CNN
Arnab Das
Suhita Ghosh
Sebastian Stober
14
0
0
22 Sep 2023
Multi-organ segmentation: a progressive exploration of learning
  paradigms under scarce annotation
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li
Haoran Wang
Yucong Meng
Chenxi Zhang
Zhijian Song
29
6
0
07 Feb 2023
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised
  Medical Image Segmentation
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang
Rushi Jiao
Qingcheng Liao
Dongyang Li
Jicong Zhang
20
56
0
05 Dec 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