BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1006 related articles for article (PubMed ID: 32397197)

  • 1. Robust Semi-Supervised Traffic Sign Recognition via Self-Training and Weakly-Supervised Learning.
    Nartey OT; Yang G; Asare SK; Wu J; Frempong LN
    Sensors (Basel); 2020 May; 20(9):. PubMed ID: 32397197
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Semisupervised Learning Scheme with Self-Paced Learning for Classifying Breast Cancer Histopathological Images.
    Asare SK; You F; Nartey OT
    Comput Intell Neurosci; 2020; 2020():8826568. PubMed ID: 33376479
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification.
    Wang X; Chen H; Xiang H; Lin H; Lin X; Heng PA
    Med Image Anal; 2021 May; 70():102010. PubMed ID: 33677262
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Semi-Supervised Deep Learning Using Pseudo Labels for Hyperspectral Image Classification.
    Hao Wu ; Prasad S
    IEEE Trans Image Process; 2018 Mar; 27(3):1259-1270. PubMed ID: 29990156
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Weakly Semi-supervised phenotyping using Electronic Health records.
    Nogues IE; Wen J; Lin Y; Liu M; Tedeschi SK; Geva A; Cai T; Hong C
    J Biomed Inform; 2022 Oct; 134():104175. PubMed ID: 36064111
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Co-Labeling for Multi-View Weakly Labeled Learning.
    Xu X; Li W; Xu D; Tsang IW
    IEEE Trans Pattern Anal Mach Intell; 2016 Jun; 38(6):1113-25. PubMed ID: 26353366
    [TBL] [Abstract][Full Text] [Related]  

  • 7. FaxMatch: Multi-Curriculum Pseudo-Labeling for semi-supervised medical image classification.
    Peng Z; Zhang D; Tian S; Wu W; Yu L; Zhou S; Huang S
    Med Phys; 2023 May; 50(5):3210-3222. PubMed ID: 36779849
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
    Enguehard J; O'Halloran P; Gholipour A
    IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Semi-Supervised Stacked Autoencoder Using the Pseudo Label for Classification Tasks.
    Lai J; Wang X; Xiang Q; Quan W; Song Y
    Entropy (Basel); 2023 Aug; 25(9):. PubMed ID: 37761573
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images.
    Wang X; Tang F; Chen H; Cheung CY; Heng PA
    Med Image Anal; 2023 Jan; 83():102673. PubMed ID: 36403310
    [TBL] [Abstract][Full Text] [Related]  

  • 11. SemiBoost: boosting for semi-supervised learning.
    Mallapragada PK; Jin R; Jain AK; Liu Y
    IEEE Trans Pattern Anal Mach Intell; 2009 Nov; 31(11):2000-14. PubMed ID: 19762927
    [TBL] [Abstract][Full Text] [Related]  

  • 12. End-to-end novel visual categories learning via auxiliary self-supervision.
    Qing Y; Zeng Y; Cao Q; Huang GB
    Neural Netw; 2021 Jul; 139():24-32. PubMed ID: 33677376
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition.
    Shi X; Jin Y; Dou Q; Heng PA
    Med Image Anal; 2021 Oct; 73():102158. PubMed ID: 34325149
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.
    She Q; Zou J; Luo Z; Nguyen T; Li R; Zhang Y
    Med Biol Eng Comput; 2020 Sep; 58(9):2119-2130. PubMed ID: 32676841
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Pseudo-Labeling Optimization Based Ensemble Semi-Supervised Soft Sensor in the Process Industry.
    Li Y; Jin H; Dong S; Yang B; Chen X
    Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960564
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Graph-Based Self-Training for Semi-Supervised Deep Similarity Learning.
    Wang Y; Huang Y; Wang Q; Zhao C; Zhang Z; Chen J
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112285
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep Source Semi-Supervised Transfer Learning (DS3TL) for Cross-Subject EEG Classification.
    Jiang X; Meng L; Wang Z; Wu D
    IEEE Trans Biomed Eng; 2024 Apr; 71(4):1308-1318. PubMed ID: 37971908
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
    Marini N; Otálora S; Müller H; Atzori M
    Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exploration of chemical space with partial labeled noisy student self-training and self-supervised graph embedding.
    Liu Y; Lim H; Xie L
    BMC Bioinformatics; 2022 May; 23(Suppl 3):158. PubMed ID: 35501680
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An empirical study of ensemble-based semi-supervised learning approaches for imbalanced splice site datasets.
    Stanescu A; Caragea D
    BMC Syst Biol; 2015; 9 Suppl 5(Suppl 5):S1. PubMed ID: 26356316
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 51.