Deep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography

Abstract Purposes To develop a deep learning (DL) model to measure the sagittal Cobb angle of the cervical spine on computed tomography (CT). Materials and methods Two VB-Net-based DL models for cervical vertebra segmentation and key-point detection were developed. Four-points and line-fitting metho...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Chunjie Wang, Ming Ni, Shuai Tian, Hanqiang Ouyang, Xiaoming Liu, Lianxi Fan, Pei Dong, Liang Jiang, Ning Lang, Huishu Yuan
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	BMC 2023-11-01
Σειρά:	BMC Medical Imaging
Θέματα:	Deep learning Sagittal Cobb angle Cervical spine Computed tomography
Διαθέσιμο Online:	https://doi.org/10.1186/s12880-023-01156-6
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