Cargando…
A pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX) for machine learning
Digital radiography is widely available and the standard modality in trauma imaging, often enabling to diagnose pediatric wrist fractures. However, image interpretation requires time-consuming specialized training. Due to astonishing progress in computer vision algorithms, automated fracture detecti...
Autores principales: | Nagy, Eszter, Janisch, Michael, Hržić, Franko, Sorantin, Erich, Tschauner, Sebastian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122976/ https://www.ncbi.nlm.nih.gov/pubmed/35595759 http://dx.doi.org/10.1038/s41597-022-01328-z |
Ejemplares similares
-
Learning rate of students detecting and annotating pediatric wrist fractures in supervised artificial intelligence dataset preparations
por: Nagy, Eszter, et al.
Publicado: (2022) -
Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection
por: Hržić, Franko, et al.
Publicado: (2019) -
Pediatric radius torus fractures in x-rays—how computer vision could render lateral projections obsolete
por: Janisch, Michael, et al.
Publicado: (2022) -
BRAX, Brazilian labeled chest x-ray dataset
por: Reis, Eduardo P., et al.
Publicado: (2022) -
Multi-day dataset of forearm and wrist electromyogram for hand gesture recognition and biometrics
por: Pradhan, Ashirbad, et al.
Publicado: (2022)