Mutual Consistency Learning for Semi-supervised Medical Image Segmentation

21 September 2021

Jianfei Cai

Papers citing "Mutual Consistency Learning for Semi-supervised Medical Image Segmentation"

31 / 31 papers shown

Title
GIGP: A Global Information Interacting and Geometric Priors Focusing Framework for Semi-supervised Medical Image Segmentation Lianyuan Yu Xiuzhen Guo Ji Shi Hongxiao Wang Hongwei Li 56 0 0 12 Mar 2025
SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation Bentao Song Qingfeng Wang 38 3 0 25 Sep 2024
Segmenting Medical Images with Limited Data Zhaoshan Liua Qiujie Lv Chau Hung Lee L. Shen 54 11 0 12 Jul 2024
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation Bin Zhao Chunshi Wang Shuxue Ding 33 2 0 01 May 2024
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation Zhenxi Zhang Heng Zhou Xiaoran Shi Ran Ran Chunna Tian Feng Zhou 21 6 0 10 Apr 2024
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation Qiangguo Jin Hui Cui Changming Sun Yang Song Jiangbin Zheng Leilei Cao Leyi Wei Ran Su 41 17 0 19 Mar 2024
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation Qingjie Zeng Yutong Xie Zilin Lu Mengkang Lu Yicheng Wu Yong-quan Xia 31 3 0 20 Nov 2023
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation Tao Wang Yuanbin Chen Xinlin Zhang Yuanbo Zhou Junlin Lan Bizhe Bai Tao Tan Min Du Qinquan Gao Tong Tong 24 0 0 17 Nov 2023
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation Heejoon Koo 34 0 0 10 Nov 2023
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation Qingjie Zeng Yutong Xie Ziling Lu Mengkang Lu Yong-quan Xia 26 4 0 26 Sep 2023
Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation Zhen Zhao Ye Liu Meng Zhao Di Yin Yixuan Yuan Luping Zhou 23 2 0 23 Aug 2023
Boundary-weighted logit consistency improves calibration of segmentation networks Neerav Karani Neel Dey Polina Golland 17 3 0 16 Jul 2023
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation Yicheng Wu Zhonghua Wu Hengcan Shi Bjoern Picker W. Chong Jianfei Cai OOD 29 5 0 10 Jul 2023
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation Zhonghua Wu Yicheng Wu Guosheng Lin Jianfei Cai 3DPC 27 10 0 09 Mar 2023
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
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation Zhiqiang Shen Peng Cao Hua Yang Xiaoli Liu Jinzhu Yang Osmar R. Zaiane 21 38 0 11 Jan 2023
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation Hritam Basak Soumitri Chattopadhyay Rohit Kundu Sayan Nag R. Mallipeddi SSL 14 8 0 26 Oct 2022
Complementary consistency semi-supervised learning for 3D left atrial image segmentation Hejun Huang Zuguo Chen Chaoyang Chen Ming Lu Ying Zou 34 279 0 04 Oct 2022
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 26 151 0 28 Jul 2022
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation Zhonghua Wu Yicheng Wu Guosheng Lin Jianfei Cai Chen Qian 3DPC 24 23 0 19 Jul 2022
LViT: Language meets Vision Transformer in Medical Image Segmentation Zihan Li Yunxiang Li Qingde Li Puyang Wang Dazhou Guo Le Lu D. Jin You Zhang Qingqi Hong VLM MedIm 59 132 0 29 Jun 2022
PlutoNet: An Efficient Polyp Segmentation Network with Modified Partial Decoder and Decoder Consistency Training Tugberk Erol Duygu Sarikaya 19 1 0 06 Apr 2022
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation Yicheng Wu Zhonghua Wu Qianyi Wu Zongyuan Ge Jianfei Cai 14 134 0 02 Mar 2022
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation Huimin Wu X. Li Kwang-Ting Cheng 28 13 0 22 Nov 2021
Curriculum Learning: A Survey Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe ODL 70 338 0 25 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 220 508 0 15 Jan 2021
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 253 656 0 23 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 185 497 0 08 Mar 2020
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training Yingda Xia Fengze Liu D. Yang Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth 177 124 0 29 Nov 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 273 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015