Artificial intelligence-based MRI radiomics and radiogenomics in glioma

Artificial intelligence-based MRI radiomics and radiogenomics in glioma

Abstract The specific genetic subtypes that gliomas exhibit result in variable clinical courses and the need to involve multidisciplinary teams of neurologists, epileptologists, neurooncologists and neurosurgeons. Currently, the diagnosis of gliomas pivots mainly around the preliminary radiological...

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Bibliographic Details
Main Authors: Haiqing Fan, Yilin Luo, Fang Gu, Bin Tian, Yongqin Xiong, Guipeng Wu, Xin Nie, Jing Yu, Juan Tong, Xin Liao
Format: Article
Language:English
Published: BMC 2024-03-01
Series:Cancer Imaging
Subjects:
Glioma
Radiomics
Radiogenomics
MRI
Artificial intelligence
Machine learning
Online Access:https://doi.org/10.1186/s40644-024-00682-y

Internet

https://doi.org/10.1186/s40644-024-00682-y

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