Performance of machine learning algorithms for glioma segmentation of brain MRI: a systematic literature review and meta-analysis

OBJECTIVES: Different machine learning algorithms (MLAs) for automated segmentation of gliomas have been reported in the literature. Automated segmentation of different tumor characteristics can be of added value for the diagnostic work-up and treatment planning. The purpose of this study was to pro...

Descripción completa

Detalles Bibliográficos
Autores principales: van Kempen, Evi J., Post, Max, Mannil, Manoj, Witkam, Richard L., ter Laan, Mark, Patel, Ajay, Meijer, Frederick J. A., Henssen, Dylan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589805/
https://www.ncbi.nlm.nih.gov/pubmed/34019128
http://dx.doi.org/10.1007/s00330-021-08035-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589805/
https://www.ncbi.nlm.nih.gov/pubmed/34019128
http://dx.doi.org/10.1007/s00330-021-08035-0

Ejemplares similares