Robust co-teaching learning with consistency-based noisy label correction for medical image classification

被引：0
|
作者：
Minjuan Zhu
Lei Zhang
Lituan Wang
Dong Li
Jianwei Zhang
Zhang Yi
机构：
[1] Sichuan University,College of Computer Science
来源：
International Journal of Computer Assisted Radiology and Surgery | 2023年 / 18卷
关键词：
Noisy label correction; Co-teaching; Noise rate estimation; Medical image classification;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：675 / 683
页数：8
相关论文
共 50 条
  • [31] Rheumatoid arthritis classification and prediction by consistency-based deep learning using extremity MRI scans
    Li, Yanli
    Hassanzadeh, Tahereh
    Shamonin, Denis P.
    Reijnierse, Monique
    van der Helm-van Mil, Annette H. M.
    Stoel, Berend C.
    [J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 91
  • [32] A Hybrid Robust-Learning Architecture for Medical Image Segmentation with Noisy Labels
    Shi, Jialin
    Guo, Chenyi
    Wu, Ji
    [J]. FUTURE INTERNET, 2022, 14 (02)
  • [33] Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training
    Xue, Cheng
    Yu, Lequan
    Chen, Pengfei
    Dou, Qi
    Heng, Pheng-Ann
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 41 (06) : 1371 - 1382
  • [34] Robust Mechanical Fault Diagnosis With Noisy Label Based on Multistage True Label Distribution Learning
    Wang, Huan
    Li, Yan-Fu
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2023, 72 (03) : 975 - 988
  • [35] Triple Consistency-based Self-ensembling Model for Unsupervised Domain Adaption in Medical Image Segmentation
    Shi, Andrew
    Feng, Wei
    [J]. 2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, 2023,
  • [36] Robust Label and Feature Space Co-Learning for Multi-Label Classification
    Liu, Zhifeng
    Tang, Chuanjing
    Abhadiomhen, Stanley Ebhohimhen
    Shen, Xiang-Jun
    Li, Yangyang
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (11) : 11846 - 11859
  • [37] Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification
    Tu, Bing
    Zhang, Xiaofei
    Kang, Xudong
    Zhang, Guoyun
    Li, Shutao
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (03): : 1573 - 1584
  • [38] TCC-net: A two-stage training method with contradictory loss and co-teaching based on meta-learning for learning with noisy labels
    Xia, Qiangqiang
    Lee, Feifei
    Chen, Qiu
    [J]. INFORMATION SCIENCES, 2023, 639
  • [39] Scale Federated Learning for Label Set Mismatch in Medical Image Classification
    Deng, Zhipeng
    Luo, Luyang
    Chen, Hao
    [J]. MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT III, 2023, 14222 : 118 - 127
  • [40] FEDSLD: FEDERATED LEARNING WITH SHARED LABEL DISTRIBUTION FOR MEDICAL IMAGE CLASSIFICATION
    Luo, Jun
    Wu, Shandong
    [J]. 2022 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (IEEE ISBI 2022), 2022,
12345