BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

34 related articles for article (PubMed ID: 38610246)

  • 1. 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]  

  • 2. Multiresolution Discriminative Mixup Network for Fine-Grained Visual Categorization.
    Xu K; Lai R; Gu L; Li Y
    IEEE Trans Neural Netw Learn Syst; 2023 Jul; 34(7):3488-3500. PubMed ID: 34606464
    [TBL] [Abstract][Full Text] [Related]  

  • 3. AMPLIFY: attention-based mixup for performance improvement and label smoothing in transformer.
    Yang L; Xiang Y
    PeerJ Comput Sci; 2024; 10():e2011. PubMed ID: 38855226
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A survey of label-noise deep learning for medical image analysis.
    Shi J; Zhang K; Guo C; Yang Y; Xu Y; Wu J
    Med Image Anal; 2024 Jul; 95():103166. PubMed ID: 38613918
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Robust Deep Neural Network for Learning in Noisy Multi-Label Food Images.
    Morales R; Martinez-Arroyo A; Aguilar E
    Sensors (Basel); 2024 Mar; 24(7):. PubMed ID: 38610246
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Suppressing label noise in medical image classification using mixup attention and self-supervised learning.
    Gao M; Jiang H; Hu Y; Ren Q; Xie Z; Liu J
    Phys Med Biol; 2024 May; 69(10):. PubMed ID: 38636495
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. Dynamic Loss for Robust Learning.
    Jiang S; Li J; Zhang J; Wang Y; Xu T
    IEEE Trans Pattern Anal Mach Intell; 2023 Dec; 45(12):14420-14434. PubMed ID: 37665707
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Co-Learning Meets Stitch-Up for Noisy Multi-Label Visual Recognition.
    Liang C; Yang Z; Zhu L; Yang Y
    IEEE Trans Image Process; 2023; 32():2508-2519. PubMed ID: 37115833
    [TBL] [Abstract][Full Text] [Related]  

  • 13.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 14.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 15.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 16.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 17.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 18.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 19.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 2.