BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

241 related articles for article (PubMed ID: 34418693)

  • 21. Comparing Class-Aware and Pairwise Loss Functions for Deep Metric Learning in Wildlife Re-Identification.
    Dlamini N; van Zyl TL
    Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577319
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Collaborative learning with corrupted labels.
    Wang Y; Huang R; Huang G; Song S; Wu C
    Neural Netw; 2020 May; 125():205-213. PubMed ID: 32145649
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A Convergence Path to Deep Learning on Noisy Labels.
    Liu D; Tsang IW; Yang G
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):5170-5182. PubMed ID: 36136922
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Learning With Noisy Labels via Self-Reweighting From Class Centroids.
    Ma F; Wu Y; Yu X; Yang Y
    IEEE Trans Neural Netw Learn Syst; 2022 Nov; 33(11):6275-6285. PubMed ID: 33961567
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Review of some existing QML frameworks and novel hybrid classical-quantum neural networks realising binary classification for the noisy datasets.
    Schetakis N; Aghamalyan D; Griffin P; Boguslavsky M
    Sci Rep; 2022 Jul; 12(1):11927. PubMed ID: 35831369
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Prediction of the transcription factor binding sites with meta-learning.
    Jing F; Zhang SW; Zhang S
    Methods; 2022 Jul; 203():207-213. PubMed ID: 35462009
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Learning From Noisy Labels With Deep Neural Networks: A Survey.
    Song H; Kim M; Park D; Shin Y; Lee JG
    IEEE Trans Neural Netw Learn Syst; 2023 Nov; 34(11):8135-8153. PubMed ID: 35254993
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
    Pang S; Yu Z; Orgun MA
    Comput Methods Programs Biomed; 2017 Mar; 140():283-293. PubMed ID: 28254085
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. 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]  

  • 32. Wasserstein Adversarial Regularization for Learning With Label Noise.
    Fatras K; Damodaran BB; Lobry S; Flamary R; Tuia D; Courty N
    IEEE Trans Pattern Anal Mach Intell; 2022 Oct; 44(10):7296-7306. PubMed ID: 34232864
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Time Series Classification with InceptionFCN.
    Usmankhujaev S; Ibrokhimov B; Baydadaev S; Kwon J
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009700
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels.
    Petit O; Thome N; Soler L
    Comput Med Imaging Graph; 2021 Jul; 91():101938. PubMed ID: 34153879
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Opening up the blackbox: an interpretable deep neural network-based classifier for cell-type specific enhancer predictions.
    Kim SG; Theera-Ampornpunt N; Fang CH; Harwani M; Grama A; Chaterji S
    BMC Syst Biol; 2016 Aug; 10 Suppl 2(Suppl 2):54. PubMed ID: 27490187
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A fundus image classification framework for learning with noisy labels.
    Hu T; Yang B; Guo J; Zhang W; Liu H; Wang N; Li H
    Comput Med Imaging Graph; 2023 Sep; 108():102278. PubMed ID: 37586260
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A predicted-loss based active learning approach for robust cancer pathology image analysis in the workplace.
    Kim M; QuiƱones Robles WR; Ko YS; Wong B; Lee S; Yi MY
    BMC Med Imaging; 2024 Jan; 24(1):5. PubMed ID: 38166690
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Asymmetric double networks mutual teaching for unsupervised person Re-identification.
    Zhang M; Li K; Ma J; Wang X
    Neural Netw; 2024 Jan; 169():744-755. PubMed ID: 37981456
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A Parametrical Model for Instance-Dependent Label Noise.
    Yang S; Wu S; Yang E; Han B; Liu Y; Xu M; Niu G; Liu T
    IEEE Trans Pattern Anal Mach Intell; 2023 Dec; 45(12):14055-14068. PubMed ID: 37540612
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Active label cleaning for improved dataset quality under resource constraints.
    Bernhardt M; Castro DC; Tanno R; Schwaighofer A; Tezcan KC; Monteiro M; Bannur S; Lungren MP; Nori A; Glocker B; Alvarez-Valle J; Oktay O
    Nat Commun; 2022 Mar; 13(1):1161. PubMed ID: 35246539
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.