BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 36995408)

  • 1. Automatic breast cancer diagnosis based on hybrid dimensionality reduction technique and ensemble classification.
    Li X; Chen X; Rezaeipanah A
    J Cancer Res Clin Oncol; 2023 Aug; 149(10):7609-7627. PubMed ID: 36995408
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A structured combination of ensemble classifier and filter-based feature selection to improve breast cancer diagnosis.
    Zheng D; Tang P; Lu D; Han L; Saberi S
    J Cancer Res Clin Oncol; 2023 Nov; 149(16):14519-14534. PubMed ID: 37567985
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Toward improving the performance of learning by joining feature selection and ensemble classification techniques: an application for cancer diagnosis.
    Wang D
    J Cancer Res Clin Oncol; 2023 Dec; 149(19):16993-17006. PubMed ID: 37740767
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An ensemble classifier method based on teaching-learning-based optimization for breast cancer diagnosis.
    Tuerhong A; Silamujiang M; Xianmuxiding Y; Wu L; Mojarad M
    J Cancer Res Clin Oncol; 2023 Sep; 149(11):9337-9348. PubMed ID: 37202580
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Reviewing ensemble classification methods in breast cancer.
    Hosni M; Abnane I; Idri A; Carrillo de Gea JM; Fernández Alemán JL
    Comput Methods Programs Biomed; 2019 Aug; 177():89-112. PubMed ID: 31319964
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combining ensemble classification and integrated filter-evolutionary search for breast cancer diagnosis.
    Sun X; Qourbani A
    J Cancer Res Clin Oncol; 2023 Sep; 149(12):10753-10769. PubMed ID: 37310475
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A hybrid cost-sensitive ensemble for imbalanced breast thermogram classification.
    Krawczyk B; Schaefer G; Woźniak M
    Artif Intell Med; 2015 Nov; 65(3):219-27. PubMed ID: 26319694
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Novel Breast Cancer Diagnosis Scheme With Intelligent Feature and Parameter Selections.
    Punitha S; Stephan T; Gandomi AH
    Comput Methods Programs Biomed; 2022 Feb; 214():106432. PubMed ID: 34844767
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Breast cancer tumor type recognition using graph feature selection technique and radial basis function neural network with optimal structure.
    Zarbakhsh P; Addeh A
    J Cancer Res Ther; 2018; 14(3):625-633. PubMed ID: 29893330
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Phenotype recognition with combined features and random subspace classifier ensemble.
    Zhang B; Pham TD
    BMC Bioinformatics; 2011 Apr; 12():128. PubMed ID: 21529372
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A research about breast cancer detection using different neural networks and K-MICA algorithm.
    Kalteh AA; Zarbakhsh P; Jirabadi M; Addeh J
    J Cancer Res Ther; 2013; 9(3):456-66. PubMed ID: 24125983
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Correlation-Based Ensemble Feature Selection Using Bioinspired Algorithms and Classification Using Backpropagation Neural Network.
    Elgin Christo VR; Khanna Nehemiah H; Minu B; Kannan A
    Comput Math Methods Med; 2019; 2019():7398307. PubMed ID: 31662787
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hybrid Feature-Learning-Based PSO-PCA Feature Engineering Approach for Blood Cancer Classification.
    Atteia G; Alnashwan R; Hassan M
    Diagnostics (Basel); 2023 Aug; 13(16):. PubMed ID: 37627931
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A pruned ensemble classifier for effective breast thermogram analysis.
    Krawczyk B; Schaefer G
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():7120-3. PubMed ID: 24111386
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fissures segmentation using surface features: content-based retrieval for mammographic mass using ensemble classifier.
    Liu H; Lan Y; Xu X; Song E; Hung CC
    Acad Radiol; 2011 Dec; 18(12):1475-84. PubMed ID: 22055794
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods.
    Taghizadeh E; Heydarheydari S; Saberi A; JafarpoorNesheli S; Rezaeijo SM
    BMC Bioinformatics; 2022 Oct; 23(1):410. PubMed ID: 36183055
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier.
    Sohail A; Khan A; Nisar H; Tabassum S; Zameer A
    Med Image Anal; 2021 Aug; 72():102121. PubMed ID: 34139665
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Diagnosis of Breast Cancer Using Computational Intelligence Models and IoT Applications.
    Alghamdi M; Maray M; Alazzam MB
    Comput Intell Neurosci; 2022; 2022():2143510. PubMed ID: 36275956
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction.
    Lee MC; Boroczky L; Sungur-Stasik K; Cann AD; Borczuk AC; Kawut SM; Powell CA
    Artif Intell Med; 2010 Sep; 50(1):43-53. PubMed ID: 20570118
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Machine Learning Ensemble Classifier for Early Prediction of Diabetic Retinopathy.
    S K S; P A
    J Med Syst; 2017 Nov; 41(12):201. PubMed ID: 29124453
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.