Cargando…
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI
This study aimed to develop a deep learning (DL) algorithm for automated detection and localization of posterior ligamentous complex (PLC) injury in patients with acute thoracolumbar (TL) fracture on magnetic resonance imaging (MRI) and evaluate its diagnostic performance. In this retrospective mult...
Autores principales: | Jo, Sang Won, Khil, Eun Kyung, Lee, Kyoung Yeon, Choi, Il, Yoon, Yu Sung, Cha, Jang Gyu, Lee, Jae Hyeok, Kim, Hyunggi, Lee, Sun Yeop |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624679/ https://www.ncbi.nlm.nih.gov/pubmed/37923853 http://dx.doi.org/10.1038/s41598-023-46208-7 |
Ejemplares similares
-
A modified MRI protocol for the increased detection of sacrococcygeal fractures in patients with thoracolumbar junction fractures
por: Khil, Eun Kyung, et al.
Publicado: (2021) -
Evaluation of Posterior Ligamentous Complex Injury in Thoracolumbar Burst Fractures: Correlation Analysis of CT and MRI Findings
por: YOSHIKAWA, Satoshi, et al.
Publicado: (2023) -
Imaging parameters and clinical significance of posterior ligament complex injury in thoracolumbar fracture
por: Guo, Zhiquan, et al.
Publicado: (2023) -
Can MRI Findings Help to Predict Neurological Recovery in Paraplegics With Thoracolumbar Fracture?
por: Lee, Joonchul, et al.
Publicado: (2015) -
The Efficacy of Percutaneous Long-Segmental Posterior Fixation of Unstable Thoracolumbar Fracture with Partial Neurologic Deficit
por: Lee, Gun Woo, et al.
Publicado: (2013)