Integrating model explanations and hybrid priors into deep stacked networks for the “safe zone” prediction of acetabular cup
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DOI: 10.1177/02841851221119108
Abstract: Background Existing state-of-the-art “safe zone” prediction methods are statistics-based methods, image-matching techniques, and machine learning methods. Yet, those methods bring a tension between accuracy and interpretability. Purpose To explore the model explanations and estimator consensus… read more here.
Keywords: zone prediction; model explanations; acetabular cup; safe zone ... See more keywords