Deep learning for accurately recognizing common causes of shoulder pain on radiographs

OBJECTIVE: Training a convolutional neural network (CNN) to detect the most common causes of shoulder pain on plain radiographs and to assess its potential value in serving as an assistive device to physicians. MATERIALS AND METHODS: We used a CNN of the ResNet-50 architecture which was trained on 2...

Descripción completa

Detalles Bibliográficos
Autores principales: Grauhan, Nils F., Niehues, Stefan M., Gaudin, Robert A., Keller, Sarah, Vahldiek, Janis L., Adams, Lisa C., Bressem, Keno K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Scientific Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692302/
https://www.ncbi.nlm.nih.gov/pubmed/33611622
http://dx.doi.org/10.1007/s00256-021-03740-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692302/
https://www.ncbi.nlm.nih.gov/pubmed/33611622
http://dx.doi.org/10.1007/s00256-021-03740-9

Ejemplares similares