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Deep Learning-Based Quantitative Measurement Study of Spino-Pelvic Parameters in Adolescent Idiopathic Scoliosis Patients

2025-07-07

Abstract excerpt

<title>Abstract</title> <p>Objective To develop a deep learning (DL) model for the automated measurement of spino-pelvic parameters on whole-spine digital radiography (DR) images of adolescent idiopathic scoliosis (AIS) patients and to evaluate its performance and generalizability. Methods A total of 1348 whole-spine frontal/lateral DR images of AIS patients were collected to train the DL model for predicting f...

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Literature Corpus work
0f735426-5360-5b3d-9475-04d2066125aa
DOI
10.21203/rs.3.rs-6864546/v1
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Deep Learning-Based Quantitative Measurement Study of Spino-Pelvic Parameters in Adolescent Idiopathic Scoliosis PatientsDOI 10.21203/rs.3.rs-6864546/v1
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