BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 34689442)

  • 21. Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm.
    Ren F; Cao P; Li W; Zhao D; Zaiane O
    Comput Med Imaging Graph; 2017 Jan; 55():54-67. PubMed ID: 27507324
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Evolutionary undersampling for classification with imbalanced datasets: proposals and taxonomy.
    García S; Herrera F
    Evol Comput; 2009; 17(3):275-306. PubMed ID: 19708770
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images.
    William W; Ware A; Basaza-Ejiri AH; Obungoloch J
    Comput Methods Programs Biomed; 2018 Oct; 164():15-22. PubMed ID: 30195423
    [TBL] [Abstract][Full Text] [Related]  

  • 24. MBNM: Multi-branch network based on memory features for long-tailed medical image recognition.
    Zhang R; E H; Yuan L; He J; Zhang H; Zhang S; Wang Y; Song M; Wang L
    Comput Methods Programs Biomed; 2021 Nov; 212():106448. PubMed ID: 34670168
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Classification of Imbalanced Electrocardiosignal Data using Convolutional Neural Network.
    Du C; Liu PX; Zheng M
    Comput Methods Programs Biomed; 2022 Feb; 214():106483. PubMed ID: 34871837
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Dynamic learning for imbalanced data in learning chest X-ray and CT images.
    Iqbal S; Qureshi AN; Li J; Choudhry IA; Mahmood T
    Heliyon; 2023 Jun; 9(6):e16807. PubMed ID: 37313141
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Multi-Class Breast Cancer Classification Using Ensemble of Pretrained models and Transfer Learning.
    Rao PMM; Singh SK; Khamparia A; Bhushan B; Podder P
    Curr Med Imaging; 2022; 18(4):409-416. PubMed ID: 33602102
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification.
    Yao P; Shen S; Xu M; Liu P; Zhang F; Xing J; Shao P; Kaffenberger B; Xu RX
    IEEE Trans Med Imaging; 2022 May; 41(5):1242-1254. PubMed ID: 34928791
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A systematic study of the class imbalance problem in convolutional neural networks.
    Buda M; Maki A; Mazurowski MA
    Neural Netw; 2018 Oct; 106():249-259. PubMed ID: 30092410
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Post-boosting of classification boundary for imbalanced data using geometric mean.
    Du J; Vong CM; Pun CM; Wong PK; Ip WF
    Neural Netw; 2017 Dec; 96():101-114. PubMed ID: 28987974
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Structure-activity relationship-based chemical classification of highly imbalanced Tox21 datasets.
    Idakwo G; Thangapandian S; Luttrell J; Li Y; Wang N; Zhou Z; Hong H; Yang B; Zhang C; Gong P
    J Cheminform; 2020 Oct; 12(1):66. PubMed ID: 33372637
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine.
    Wang KF; An J; Wei Z; Cui C; Ma XH; Ma C; Bao HQ
    Front Bioeng Biotechnol; 2021; 9():802712. PubMed ID: 35127672
    [TBL] [Abstract][Full Text] [Related]  

  • 33. MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers.
    Kang J; Ullah Z; Gwak J
    Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33810176
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Skin lesion classification with ensembles of deep convolutional neural networks.
    Harangi B
    J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Ensemble-based model selection for imbalanced data to investigate the contributing factors to multiple fatality road crashes in Ghana.
    Yahaya M; Guo R; Jiang X; Bashir K; Matara C; Xu S
    Accid Anal Prev; 2021 Mar; 151():105851. PubMed ID: 33383521
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation.
    Yeung M; Sala E; Schönlieb CB; Rundo L
    Comput Med Imaging Graph; 2022 Jan; 95():102026. PubMed ID: 34953431
    [TBL] [Abstract][Full Text] [Related]  

  • 37. An empirical evaluation of sampling methods for the classification of imbalanced data.
    Kim M; Hwang KB
    PLoS One; 2022; 17(7):e0271260. PubMed ID: 35901023
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy.
    Varotto G; Susi G; Tassi L; Gozzo F; Franceschetti S; Panzica F
    Front Neuroinform; 2021; 15():715421. PubMed ID: 34867255
    [No Abstract]   [Full Text] [Related]  

  • 39. GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning.
    Esposito C; Landrum GA; Schneider N; Stiefl N; Riniker S
    J Chem Inf Model; 2021 Jun; 61(6):2623-2640. PubMed ID: 34100609
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Semi-supervised learning for medical image classification using imbalanced training data.
    Huynh T; Nibali A; He Z
    Comput Methods Programs Biomed; 2022 Apr; 216():106628. PubMed ID: 35101700
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.