Classifying the Acquisition Sequence for Brain MRIs Using Neural Networks on Single Slices

Background Neural networks for analyzing MRIs are oftentimes trained on particular combinations of perspectives and acquisition sequences. Since real-world data are less structured and do not follow a standard denomination of acquisition sequences, this impedes the transition from deep learning rese...

Descripción completa

Detalles Bibliográficos
Autores principales: Braeker, Norbert, Schmitz, Cornelia, Wagner, Natalie, Stanicki, Badrudin J, Schröder, Christina, Ehret, Felix, Fürweger, Christoph, Zwahlen, Daniel R, Förster, Robert, Muacevic, Alexander, Windisch, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941825/
https://www.ncbi.nlm.nih.gov/pubmed/35345703
http://dx.doi.org/10.7759/cureus.22435

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941825/
https://www.ncbi.nlm.nih.gov/pubmed/35345703
http://dx.doi.org/10.7759/cureus.22435

Ejemplares similares