-
Automated Measurement of Migration Percentage in Hip Surveillance Radiographs: Development and Testing of a Deep-Learning Algorithm
-
Chun-Hsiao Yeh and Justin Krogue and Patrick Donahue and Marie Villalba and Sangryul Jeon and Stella X. Yu and Vedant A. Kulkarni
-
American Academy for Cerebral Palsy and Developmental Medicine Annual Meeting, Las Vegas, 21-24 September 2022
-
Paper
-
Abstract
-
A deep-learning algorithm can automatically determine MP with high accuracy. As a screening tool, the algorithm has excellent discriminatory characteristics, highlighting its role in a hip surveillance program. Further refinement of the algorithm using larger data sets will improve its generalizability for use in hip surveillance programs worldwide.
-
Keywords
-
hip migration percentage
|