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Inicio  /  Applied Sciences  /  Vol: 13 Par: 15 (2023)  /  Artículo
ARTÍCULO
TITULO

Improvement of Machine Learning-Based Prediction of Pedicle Screw Stability in Laser Resonance Frequency Analysis via Data Augmentation from Micro-CT Images

Katsuhiro Mikami    
Mitsutaka Nemoto    
Akihiro Ishinoda    
Takeo Nagura    
Masaya Nakamura    
Morio Matsumoto and Daisuke Nakashima    

Resumen

Prediction of orthopedic implant stability, particularly pedicle screws, as an index comparable to insertion torque.

PÁGINAS
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