| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4218322 | Academic Radiology | 2013 | 8 Pages |
Abstract
The results indicate that combining the six features yields a high discriminant performance in recognizing patient identity. The method has potential usefulness for automated identity recognition to ensure that chest radiographs are associated with the correct patient.
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Authors
E-Fong PhD, Wei-Chen MD, Twei-Shiun MD, Gin-Chung MD, Jain-Shing PhD, Chung-Nan PhD,