Proximal femur parameter measurement via improved PointNet+.

Jiayu YangZhe LiPengyu ZhanXinghua LiKunzheng WangJungang HanPei Yang

Published in: The international journal of medical robotics + computer assisted surgery : MRCAS (2022)

Our improved PointNet++ network provided high-precision segmentation of the femur. We further completed automatic measurement of the femur parameters and verified its high accuracy. This method is of great value for the diagnosis and preoperative planning of hip diseases.

Keyphrases

bone mineral density
deep learning
finite element
postmenopausal women
patients undergoing
machine learning
body composition
total hip arthroplasty
neural network
network analysis