Machine learning–based identification of hip arthroplasty designs
Background: The purposes of this study were to develop a machine learning–based implant recognition program and to verify its accuracy. Methods: Postoperative anteroposterior (AP) X-rays (≥300 dpi) were collected of patients who underwent total hip arthroplasty. X-rays with a wire or plate added and...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-03-01
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| Series: | Journal of Orthopaedic Translation |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214031X19302438 |