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PUBMED FOR HANDHELDS

Journal Abstract Search


185 related items for PubMed ID: 29893330

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. 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
    [Abstract] [Full Text] [Related]

  • 3. 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
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  • 5. 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 Nov; 9(3):456-66. PubMed ID: 24125983
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  • 7. Optimized Radial Basis Neural Network for Classification of Breast Cancer Images.
    Rajathi GM.
    Curr Med Imaging; 2021 Nov; 17(1):97-108. PubMed ID: 32416697
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  • 9. Neural network classifier with entropy based feature selection on breast cancer diagnosis.
    Huang ML, Hung YH, Chen WY.
    J Med Syst; 2010 Oct; 34(5):865-73. PubMed ID: 20703622
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  • 10. Breast cancer recognition using a novel hybrid intelligent method.
    Addeh J, Ebrahimzadeh A.
    J Med Signals Sens; 2012 Apr; 2(2):95-102. PubMed ID: 23626945
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  • 13. Support vector machine based diagnostic system for breast cancer using swarm intelligence.
    Chen HL, Yang B, Wang G, Wang SJ, Liu J, Liu DY.
    J Med Syst; 2012 Aug; 36(4):2505-19. PubMed ID: 21537848
    [Abstract] [Full Text] [Related]

  • 14. Control chart pattern recognition using an optimized neural network and efficient features.
    Ebrahimzadeh A, Ranaee V.
    ISA Trans; 2010 Jul; 49(3):387-93. PubMed ID: 20403598
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  • 15. A model selection algorithm for a posteriori probability estimation with neural networks.
    Arribas JI, Cid-Sueiro J.
    IEEE Trans Neural Netw; 2005 Jul; 16(4):799-809. PubMed ID: 16121722
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  • 16. Application of the PSO-SVM model for recognition of control chart patterns.
    Ranaee V, Ebrahimzadeh A, Ghaderi R.
    ISA Trans; 2010 Oct; 49(4):577-86. PubMed ID: 20663504
    [Abstract] [Full Text] [Related]

  • 17. 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
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  • 20. Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner.
    Murugesan S, Bhuvaneswaran RS, Khanna Nehemiah H, Keerthana Sankari S, Nancy Jane Y.
    Comput Math Methods Med; 2021 Dec; 2021():6662420. PubMed ID: 34055041
    [Abstract] [Full Text] [Related]


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