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Evaluation of Feature Selection Methods for Mammographic Breast Cancer Diagnosis in a Unified Framework
Over recent years, feature selection (FS) has gained more attention in intelligent diagnosis. This study is aimed at evaluating FS methods in a unified framework for mammographic breast cancer diagnosis. After FS methods generated rank lists according to feature importance, the framework added featu...
Autores principales: | Tian, Chun-jiang, Lv, Jian, Xu, Xiang-feng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505067/ https://www.ncbi.nlm.nih.gov/pubmed/34646886 http://dx.doi.org/10.1155/2021/6079163 |
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