Artificial intelligence in the radiomic analysis of glioblastomas: A review, taxonomy, and perspective

Artificial intelligence in the radiomic analysis of glioblastomas: A review, taxonomy, and perspective

Radiological imaging techniques, including magnetic resonance imaging (MRI) and positron emission tomography (PET), are the standard-of-care non-invasive diagnostic approaches widely applied in neuro-oncology. Unfortunately, accurate interpretation of radiological imaging data is constantly challeng...

Full description

Bibliographic Details
Main Authors: Ming Zhu, Sijia Li, Yu Kuang, Virginia B. Hill, Amy B. Heimberger, Lijie Zhai, Shengjie Zhai
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Oncology
Subjects:
artificial intelligence
machine learning
brain tumor
immunotherapy
radiomics
tumor classification
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.924245/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.924245/full

Similar Items