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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |
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