Clinical Applications of Artificial Intelligence, Machine Learning, and Deep Learning in the Imaging of Gliomas: A Systematic Review

In neuro-oncology, magnetic resonance imaging (MRI) is a critically important, non-invasive radiologic assessment technique for brain tumor diagnosis, especially glioma. Deep learning improves MRI image characterization and interpretation through the utilization of raw imaging data and provides unpr...

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Detalles Bibliográficos
Autor principal: Alhasan, Ayman S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2021
Materias:
Radiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671075/
https://www.ncbi.nlm.nih.gov/pubmed/34926051
http://dx.doi.org/10.7759/cureus.19580

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671075/
https://www.ncbi.nlm.nih.gov/pubmed/34926051
http://dx.doi.org/10.7759/cureus.19580

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