Automatic Characterization of Pelvic and Sacral Measures from 200 Subjects.

Nathan J Veilleux Niraj V Kalore Josephina A Vossen Jennifer S Wayne

Published in: The Journal of bone and joint surgery. American volume (2021)

An accurate and reproducible, automated technique for determining pelvic and acetabular orientation provides a way to characterize these measures as an aid in clinical diagnosis and preoperative planning.

Keyphrases

deep learning
rectal cancer
machine learning
patients undergoing
high throughput
total hip
high resolution
total knee arthroplasty
neural network
single cell