Improving the Classification of PCNSL and Brain Metastases by Developing a Machine Learning Model Based on (18)F-FDG PET

Background: The characteristic magnetic resonance imaging (MRI) and the positron emission tomography (PET) findings of PCNSL often overlap with other intracranial tumors, making definitive diagnosis challenging. PCNSL typically shows iso-hypointense to grey matter on T2-weighted imaging. However, a...

Descripción completa

Detalles Bibliográficos
Autores principales: Cui, Can, Yao, Xiaochen, Xu, Lei, Chao, Yuelin, Hu, Yao, Zhao, Shuang, Hu, Yuxiao, Zhang, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10056979/
https://www.ncbi.nlm.nih.gov/pubmed/36983721
http://dx.doi.org/10.3390/jpm13030539

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10056979/
https://www.ncbi.nlm.nih.gov/pubmed/36983721
http://dx.doi.org/10.3390/jpm13030539

Ejemplares similares