A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Applications of Artificial Intelligence Based on Medical Imaging in Glioma: Current State and Future Challenges
2022
Frontiers in Oncology
Glioma is one of the most fatal primary brain tumors, and it is well-known for its difficulty in diagnosis and management. Medical imaging techniques such as magnetic resonance imaging (MRI), positron emission tomography (PET), and spectral imaging can efficiently aid physicians in diagnosing, treating, and evaluating patients with gliomas. With the increasing clinical records and digital images, the application of artificial intelligence (AI) based on medical imaging has reduced the burden on
doi:10.3389/fonc.2022.892056
pmid:35965542
pmcid:PMC9363668
fatcat:3eao3uczojhc7gghduhdkibhny