Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network

OBJECTIVES: The goal of the present study was to classify the most common types of plain radiographs using a neural network and to validate the network’s performance on internal and external data. Such a network could help improve various radiological workflows. METHODS: All radiographs from the yea...

Descripción completa

Guardado en:
Detalles Bibliográficos
Publicado en:Eur Radiol
Autores principales: Dratsch, Thomas, Korenkov, Michael, Zopfs, David, Brodehl, Sebastian, Baessler, Bettina, Giese, Daniel, Brinkmann, Sebastian, Maintz, David, Pinto dos Santos, Daniel
Formato: Artigo
Lenguaje:Inglês
Publicado: Springer Berlin Heidelberg 2020
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC7979627/
https://ncbi.nlm.nih.gov/pubmed/32986160
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-020-07241-6
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares