BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

119 related articles for article (PubMed ID: 38691432)

  • 1. Learning With Noisy Labels Over Imbalanced Subpopulations.
    Chen M; Zhao Y; He B; Han Z; Huang J; Wu B; Yao J
    IEEE Trans Neural Netw Learn Syst; 2024 May; PP():. PubMed ID: 38691432
    [TBL] [Abstract][Full Text] [Related]  

  • 2. BadLabel: A Robust Perspective on Evaluating and Enhancing Label-Noise Learning.
    Zhang J; Song B; Wang H; Han B; Liu T; Liu L; Sugiyama M
    IEEE Trans Pattern Anal Mach Intell; 2024 Jun; 46(6):4398-4409. PubMed ID: 38236681
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Invariant feature based label correction for DNN when Learning with Noisy Labels.
    Deng L; Yang B; Kang Z; Xiang Y
    Neural Netw; 2024 Apr; 172():106137. PubMed ID: 38309136
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Hard Sample Aware Noise Robust Learning for Histopathology Image Classification.
    Zhu C; Chen W; Peng T; Wang Y; Jin M
    IEEE Trans Med Imaging; 2022 Apr; 41(4):881-894. PubMed ID: 34735341
    [TBL] [Abstract][Full Text] [Related]  

  • 5. S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation.
    Liu L; Zhang Z; Li S; Ma K; Zheng Y
    Med Image Anal; 2021 Dec; 74():102214. PubMed ID: 34464837
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Sample self-selection using dual teacher networks for pathological image classification with noisy labels.
    Han G; Guo W; Zhang H; Jin J; Gan X; Zhao X
    Comput Biol Med; 2024 May; 174():108489. PubMed ID: 38640633
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Knowledge Distillation Meets Label Noise Learning: Ambiguity-Guided Mutual Label Refinery.
    Jiang R; Yan Y; Xue JH; Chen S; Wang N; Wang H
    IEEE Trans Neural Netw Learn Syst; 2023 Nov; PP():. PubMed ID: 38019631
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Breast tumor classification through learning from noisy labeled ultrasound images.
    Cao Z; Yang G; Chen Q; Chen X; Lv F
    Med Phys; 2020 Mar; 47(3):1048-1057. PubMed ID: 31837239
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Time-Consistency Curriculum for Learning From Instance-Dependent Noisy Labels.
    Wu S; Zhou T; Du Y; Yu J; Han B; Liu T
    IEEE Trans Pattern Anal Mach Intell; 2024 Jul; 46(7):4830-4842. PubMed ID: 38300782
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Robust Commonsense Reasoning Against Noisy Labels Using Adaptive Correction.
    Yang X; Deng C; Wei K; Tao D
    IEEE Trans Cybern; 2023 Dec; PP():. PubMed ID: 38150342
    [TBL] [Abstract][Full Text] [Related]  

  • 11. How to handle noisy labels for robust learning from uncertainty.
    Ji D; Oh D; Hyun Y; Kwon OM; Park MJ
    Neural Netw; 2021 Nov; 143():209-217. PubMed ID: 34157645
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Learning to segment subcortical structures from noisy annotations with a novel uncertainty-reliability aware learning framework.
    Li X; Wei Y; Hu Q; Wang C; Yang J
    Comput Biol Med; 2022 Dec; 151(Pt B):106326. PubMed ID: 36442274
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MetaLabelNet: Learning to Generate Soft-Labels From Noisy-Labels.
    Algan G; Ulusoy I
    IEEE Trans Image Process; 2022; 31():4352-4362. PubMed ID: 35731778
    [TBL] [Abstract][Full Text] [Related]  

  • 14. P-DIFF+: Improving learning classifier with noisy labels by Noisy Negative Learning loss.
    Zhao Q; Hu W; Huang Y; Zhang F
    Neural Netw; 2021 Dec; 144():1-10. PubMed ID: 34418693
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Separating Noisy Samples From Tail Classes for Long-Tailed Image Classification With Label Noise.
    Fang C; Cheng L; Mao Y; Zhang D; Fang Y; Li G; Qi H; Jiao L
    IEEE Trans Neural Netw Learn Syst; 2023 Jul; PP():. PubMed ID: 37436859
    [TBL] [Abstract][Full Text] [Related]  

  • 16. CoDC: Accurate Learning with Noisy Labels via Disagreement and Consistency.
    Dong Y; Li J; Wang Z; Jia W
    Biomimetics (Basel); 2024 Feb; 9(2):. PubMed ID: 38392138
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Class-imbalanced complementary-label learning via weighted loss.
    Wei M; Zhou Y; Li Z; Xu X
    Neural Netw; 2023 Sep; 166():555-565. PubMed ID: 37586256
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Learning from Noisy Image Labels with Quality Embedding.
    Yao J; Wang J; Tsang IW; Zhang Y; Sun J; Zhang C; Zhang R
    IEEE Trans Image Process; 2018 Oct; ():. PubMed ID: 30369444
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bayesian DivideMix++ for Enhanced Learning with Noisy Labels.
    Nagarajan B; Marques R; Aguilar E; Radeva P
    Neural Netw; 2024 Apr; 172():106122. PubMed ID: 38244356
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Compressing Features for Learning With Noisy Labels.
    Chen Y; Hu SX; Shen X; Ai C; Suykens JAK
    IEEE Trans Neural Netw Learn Syst; 2024 Feb; 35(2):2124-2138. PubMed ID: 35802546
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.