AI-Driven Segmentation and Automated Analysis of the Whole Sagittal Spine from X-ray Images for Spinopelvic Parameter Evaluation

Spinal–pelvic parameters are utilized in orthopedics for assessing patients’ curvature and body alignment in diagnosing, treating, and planning surgeries for spinal and pelvic disorders. Segmenting and autodetecting the whole spine from lateral radiographs is challenging. Recent efforts have employe...

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Detalles Bibliográficos
Autores principales: Song, Sang-Youn, Seo, Min-Seok, Kim, Chang-Won, Kim, Yun-Heung, Yoo, Byeong-Cheol, Choi, Hyun-Ju, Seo, Sung-Hyo, Kang, Sung-Wook, Song, Myung-Geun, Nam, Dae-Cheol, Kim, Dong-Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604000/
https://www.ncbi.nlm.nih.gov/pubmed/37892959
http://dx.doi.org/10.3390/bioengineering10101229

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604000/
https://www.ncbi.nlm.nih.gov/pubmed/37892959
http://dx.doi.org/10.3390/bioengineering10101229

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