Automated detection and quantification of brain metastases on clinical MRI data using artificial neural networks

BACKGROUND: Reliable detection and precise volumetric quantification of brain metastases (BM) on MRI are essential for guiding treatment decisions. Here we evaluate the potential of artificial neural networks (ANN) for automated detection and quantification of BM. METHODS: A consecutive series of 30...

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Detalles Bibliográficos
Autores principales: Pflüger, Irada, Wald, Tassilo, Isensee, Fabian, Schell, Marianne, Meredig, Hagen, Schlamp, Kai, Bernhardt, Denise, Brugnara, Gianluca, Heußel, Claus Peter, Debus, Juergen, Wick, Wolfgang, Bendszus, Martin, Maier-Hein, Klaus H, Vollmuth, Philipp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Clinical Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9466273/
https://www.ncbi.nlm.nih.gov/pubmed/36105388
http://dx.doi.org/10.1093/noajnl/vdac138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9466273/
https://www.ncbi.nlm.nih.gov/pubmed/36105388
http://dx.doi.org/10.1093/noajnl/vdac138

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