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Novel Mathematical Model of Breast Cancer Diagnostics Using an Associative Pattern Classification.

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第一作者： Raúl,Santiago-Montero

第一单位： Tecnológico Nacional de México/Instituto Tecnológico de León, León 37290, Guanajuato, Mexico.

作者： Raúl,Santiago-Montero ^[1] ; Humberto,Sossa ^[2] ; David A,Gutiérrez-Hernández ^[1] ; Víctor,Zamudio ^[1] ; Ignacio,Hernández-Bautista ^[3] ; Sergio,Valadez-Godínez ^[4]

作者单位： Tecnológico Nacional de México/Instituto Tecnológico de León, León 37290, Guanajuato, Mexico. ^[1] Instituto Politécnico Nacional (CIC), CD de México 07738, Mexico.;Tecnológico de Monterrey, Campus Guadalajara, Zapopan 45138, Jalisco, Mexico. ^[2] Cátedra-CONACyT-Tecnológico Nacional de México/I.T. León, León 37290, Guanajuato, Mexico. ^[3] Universidad Humani Mundial, Campus San Francisco del Rincón, San Francisco del Rincón 37378, Guanajuato, Mexico. ^[4]

关键词 associative memory (AM)associative processing (AP)breast cancer detection (BCD)neural network (NN)pattern recognition (PR)

DOI 10.3390/diagnostics10030136

PMID 32121569

发布时间 2020-09-28

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Diagnostics (Basel, Switzerland)

2020年10卷3期

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Novel Mathematical Model of Breast Cancer Diagnostics Using an Associative Pattern Classification.

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Novel Mathematical Model of Breast Cancer Diagnostics Using an Associative Pattern Classification.

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