BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

292 related articles for article (PubMed ID: 34688017)

  • 1. A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer.
    Ye H; Wang Y; Cao F
    Neural Netw; 2021 Dec; 144():755-765. PubMed ID: 34688017
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning.
    Lai N; Kan M; Han C; Song X; Shan S
    IEEE Trans Neural Netw Learn Syst; 2021 Aug; 32(8):3458-3470. PubMed ID: 32755872
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Meta-Transfer Learning Through Hard Tasks.
    Sun Q; Liu Y; Chen Z; Chua TS; Schiele B
    IEEE Trans Pattern Anal Mach Intell; 2022 Mar; 44(3):1443-1456. PubMed ID: 32822293
    [TBL] [Abstract][Full Text] [Related]  

  • 4. LwF-ECG: Learning-without-forgetting approach for electrocardiogram heartbeat classification based on memory with task selector.
    Ammour N; Alhichri H; Bazi Y; Alajlan N
    Comput Biol Med; 2021 Oct; 137():104807. PubMed ID: 34496312
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Learning to Forget for Meta-Learning via Task-and-Layer-Wise Attenuation.
    Baik S; Oh J; Hong S; Lee KM
    IEEE Trans Pattern Anal Mach Intell; 2022 Nov; 44(11):7718-7730. PubMed ID: 34347593
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A difficulty-aware and task-augmentation method based on meta-learning model for few-shot diabetic retinopathy classification.
    Liu X; Dong X; Li T; Zou X; Cheng C; Jiang Z; Gao Z; Duan S; Chen M; Liu T; Huang P; Li D; Lu H
    Quant Imaging Med Surg; 2024 Jan; 14(1):861-876. PubMed ID: 38223039
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Hierarchical Recurrent Neural Hashing for Image Retrieval With Hierarchical Convolutional Features.
    Lu X; Chen Y; Li X
    IEEE Trans Image Process; 2018 Jan.; 27(1):106-120. PubMed ID: 28952940
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis.
    Huang B; Tian J; Zhang H; Luo Z; Qin J; Huang C; He X; Luo Y; Zhou Y; Dan G; Chen H; Feng ST; Yuan C
    IEEE J Biomed Health Inform; 2021 Jul; 25(7):2655-2664. PubMed ID: 33290235
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Few-shot learning approach with multi-scale feature fusion and attention for plant disease recognition.
    Lin H; Tse R; Tang SK; Qiang ZP; Pau G
    Front Plant Sci; 2022; 13():907916. PubMed ID: 36186021
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Hybrid Fine-Tuning Strategy for Few-Shot Classification.
    Zhao L; Ou Z; Zhang L; Li S
    Comput Intell Neurosci; 2022; 2022():9620755. PubMed ID: 36254202
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Learning with few samples in deep learning for image classification, a mini-review.
    Zhang R; Liu Q
    Front Comput Neurosci; 2022; 16():1075294. PubMed ID: 36686199
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A few-shot disease diagnosis decision making model based on meta-learning for general practice.
    Liu Q; Tian Y; Zhou T; Lyu K; Xin R; Shang Y; Liu Y; Ren J; Li J
    Artif Intell Med; 2024 Jan; 147():102718. PubMed ID: 38184346
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Joint learning of feature and topology for multi-view graph convolutional network.
    Chen Y; Wu Z; Chen Z; Dong M; Wang S
    Neural Netw; 2023 Nov; 168():161-170. PubMed ID: 37757724
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multi-Learner Based Deep Meta-Learning for Few-Shot Medical Image Classification.
    Jiang H; Gao M; Li H; Jin R; Miao H; Liu J
    IEEE J Biomed Health Inform; 2023 Jan; 27(1):17-28. PubMed ID: 36251917
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Few-Shot Fine-Grained Image Classification via GNN.
    Zhou X; Zhang Y; Wei Q
    Sensors (Basel); 2022 Oct; 22(19):. PubMed ID: 36236743
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-label zero-shot learning with graph convolutional networks.
    Ou G; Yu G; Domeniconi C; Lu X; Zhang X
    Neural Netw; 2020 Dec; 132():333-341. PubMed ID: 32977278
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Few-shot cotton leaf spots disease classification based on metric learning.
    Liang X
    Plant Methods; 2021 Nov; 17(1):114. PubMed ID: 34749780
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Model-Agnostic Meta-Baseline Method for Few-Shot Fault Diagnosis of Wind Turbines.
    Liu X; Teng W; Liu Y
    Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590978
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification.
    Zhang Y; Li H; Du J; Qin J; Wang T; Chen Y; Liu B; Gao W; Ma G; Lei B
    IEEE Trans Med Imaging; 2021 Jun; 40(6):1618-1631. PubMed ID: 33646948
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Disentangled Feature Representation for Few-Shot Image Classification.
    Cheng H; Wang Y; Li H; Kot AC; Wen B
    IEEE Trans Neural Netw Learn Syst; 2023 Feb; PP():. PubMed ID: 37027772
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.