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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Shuai Pang1, Chunhua Hu1, Juan Zhao1
1College of Automation and Electrical Engineering, Shandong University of Aeronautics, Binzhou, 256600, Shandong, China.
This study introduces the Interactive Axial Feature Selection Network (IAFSNet) for medical image classification. IAFSNet enhances feature representation and classification performance by interactively selecting salient features and filtering noise.
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