Co-training with High-Confidence Pseudo Labels for Semi-supervised
Medical Image Segmentation

Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

11 January 2023

Osmar R. Zaiane

Papers citing "Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation"

13 / 13 papers shown

Title
Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation Zhenhuan Zhou Yuchen Zhang Along He Peng Wang Xueshuo Xie Tao Li 35 0 0 16 Apr 2025
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey Siteng Ma Honghui Du Yu An Jing Wang Qinqin Wang Haochang Wu Aonghus Lawlor Ruihai Dong 40 0 0 15 Apr 2025
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation Kaiwen Huang Tao Zhou Huazhu Fu Yizhe Zhang Yi Zhou Chen Gong Dong Liang VLM 64 2 0 18 Dec 2024
Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Lingcong Cai Y. Li Xiaomao Fan Kaixuan Song Yongcheng Li Yixuan Yuan 61 0 0 03 Dec 2024
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation Ning Gao Sanping Zhou Le Wang Nanning Zheng AI4TS 29 2 0 08 Sep 2024
Adaptive Mix for Semi-Supervised Medical Image Segmentation Zhiqiang Shen Peng Cao Junming Su Jinzhu Yang Osmar R. Zaiane 46 0 0 31 Jul 2024
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer Tahira Shehzadi Ifza Didier Stricker Muhammad Zeshan Afzal ViT 40 0 0 11 Jul 2024
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning Arnaud Judge Thierry Judge Nicolas Duchateau Roman A. Sandler Joseph Z. Sokol Olivier Bernard Pierre-Marc Jodoin OOD 32 0 0 25 Jun 2024
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 226 862 0 15 Oct 2021
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation Yicheng Wu Z. Ge Donghao Zhang Minfeng Xu Lei Zhang Yong-quan Xia Jianfei Cai OOD SSL 69 230 0 21 Sep 2021
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 185 497 0 08 Mar 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015