A fully automatic curve localization method for extracted spine

• Main Authors: Aishu Xie, Ervin Gubin Moung, Xu Zhou, Zhibang Yang
• Format: Article
• Language: English; English
• Published: Yogyakarta: Institute of Advanced Engineering and Science (IAES) 2024
• Subjects: Q1-390 Science (General); QA440-699 Geometry. Trigonometry. Topology
• Online Access: https://eprints.ums.edu.my/id/eprint/41932/1/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/41932/2/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/41932/; http://doi.org/10.11591/ijece.v14i4.pp4018-4033

The automation of scoliosis positioning presents a challenging and often understated task, yet it holds fundamental significance for the automated analysis of spinal morphological anomalies. This paper introduces a novel spinal curve localization model for precisely differentiating the spinal curves...