Cargando…
Automated Rib Fracture Detection on Chest X-Ray Using Contrastive Learning
To develop a deep learning-based model for detecting rib fractures on chest X-Ray and to evaluate its performance based on a multicenter study. Chest digital radiography (DR) images from 18,631 subjects were used for the training, testing, and validation of the deep learning fracture detection model...
Autores principales: | Sun, Hongbiao, Wang, Xiang, Li, Zheren, Liu, Aie, Xu, Shaochun, Jiang, Qinling, Li, Qingchu, Xue, Zhong, Gong, Jing, Chen, Lei, Xiao, Yi, Liu, Shiyuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501970/ https://www.ncbi.nlm.nih.gov/pubmed/37407842 http://dx.doi.org/10.1007/s10278-023-00868-z |
Ejemplares similares
-
Multiple rib fractures confused with loss of lung volume on chest X‐ray
por: Hirata, Risa, et al.
Publicado: (2022) -
An AI-Based Image Quality Control Framework for Knee Radiographs
por: Sun, Hongbiao, et al.
Publicado: (2023) -
Clinical Utility of Chest Computed Tomography in Patients with Rib Fractures CT Chest and Rib Fractures
por: Chapman, Brandon C., et al.
Publicado: (2016) -
Diagnostic Accuracy of Computed Tomography Scout Film and Chest X-ray for Detection of Rib Fractures in Patients with Chest Trauma: A Cross-sectional Study
por: Awais, Muhammad, et al.
Publicado: (2019) -
Follow-Up Chest X-rays in Minor Chest Trauma with Fewer Than Three Rib Fractures: A Justifiable, Habitual Re-Imaging Industry?
por: Deluca, Amelie, et al.
Publicado: (2022)