Support Vector Machine Model for Diagnosing Pneumoconiosis Based on Wavelet Texture Features of Digital Chest Radiographs.
This study aims to explore the classification ability of decision trees (DTs) and support vector machines (SVMs) to discriminate between the digital chest radiographs (DRs) of pneumoconiosis patients and control subjects. Twenty-eight wavelet-based energy texture features were calculated at the lung...
| Published in: | Journal of Digital Imaging Vol. 27; no. 1; pp. 90 - 98 |
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| Main Authors: | , , , , |
| Format: | diagnostic images research tables/charts Journal Article |
| Published: |
Springer Nature
Feb2014
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| Online Access: | View this record in EBSCOhost |