Deep learning-based sex estimation of 3D hyoid bone models in a Croatian population using adapted PointNet++ network
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DOI: 10.1038/s41598-025-07608-z
Abstract: This study investigates a deep learning approach for sex estimation using 3D hyoid bone models derived from computed tomography (CT) scans of a Croatian population. We analyzed 202 hyoid samples (101 male, 101 female), converting… read more here.
Keywords: deep learning; sex; bone models; sex estimation ... See more keywords
Agreement Between Two Methods for Computing the Anterior-Posterior Positions of Native Femoral Condyles Using 3D Bone Models with and Without Articular Cartilage and Smoothing.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of biomechanical engineering"
DOI: 10.1115/1.4053914
Abstract: Knowledge of anterior-posterior (AP) movement of the femoral condyles on the tibia in healthy knees serves to assess whether an artificial knee restores natural movement. Two methods for identifying AP positions and hence condylar movements… read more here.
Keywords: agreement; bone; cartilage; bone models ... See more keywords
Three-Dimensional Quantification of Cam Resection Using MRI Bone Models: A Comparison of 2 Techniques
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DOI: 10.1177/23259671221095417
Abstract: Background: The current clinical standard for the evaluation of cam deformity in femoroacetabular impingement syndrome is based on radiographic measurements, which limit the ability to quantify the complex 3-dimensional (3D) morphology of the proximal femur.… read more here.
Keywords: cam resection; quantification cam; resection; bone models ... See more keywords