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...

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Detalles Bibliográficos
Autores principales: Tian, Chun-jiang, Lv, Jian, Xu, Xiang-feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
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

Internet

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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