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...
| Published in: | BioMed Research International pp. 1 - 10 |
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| Main Authors: | , , |
| Format: | equations & formulas research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
10/4/2021
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| Online Access: | View this record in EBSCOhost |