Automatic measurement of proximal femoral morphological parameters using point cloud semantic segmentation technology

Automatic measurement of proximal femoral morphological parameters using point cloud semantic segmentation technology

Abstract This paper proposes a method for the automatic measurement of proximal femoral morphological parameters based on CT images. First, construct a statistical model of the femur with generalization properties and perform Mask labeling. Second, automatically segment the femur model from CT image...

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Bibliographic Details
Main Authors: Yagang Wang, Qiulong Yang, Jiantao Li, Kaixuan Wang, Miaotian Tang
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
CT bone image
Femur morphometric parameters
Point cloud semantic segmentation
Automatic measurement
Online Access:https://doi.org/10.1038/s41598-025-94310-9
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https://doi.org/10.1038/s41598-025-94310-9

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