2024
DOI: 10.1007/978-3-031-55315-8_18
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3D Inference of the Scoliotic Spine from Depth Maps of the Back

Nicolas Comte,
Sergi Pujades,
Aurélien Courvoisier
et al.

Abstract: Recent advances combining outer images and deep-learning algorithms (DLA) show promising results in the detection and the characterization of the Adolescent Idiopathic Scoliosis (AIS). However, these methods are providing a limited 2D characterization while scoliosis is defined in 3D.In this study we propose an inference method that takes as input a depth map of the back of a person and outputs the 3D shape estimation of the thoracolumbar spine. Our DLA method predicts 3D vertebrae positions with an average 3D… Show more

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