Machine learning and glioma imaging biomarkers.

ABSTRACT:

Aim

To review how machine learning (ML) is applied to imaging biomarkers in neuro-oncology, in particular for diagnosis, prognosis, and treatment response monitoring.

Materials and methods

The PubMed and MEDLINE databases were searched for articles published before September 2018 using relevant search terms. The search strategy focused on articles applying ML to high-grade glioma biomarkers for treatment response monitoring, prognosis, and prediction.

Results

Magnetic resonance imaging (MRI) is typically used throughout the patient pathway because routine structural imaging provides detailed anatomical and pathological information and advanced techniques provide additional physiological detail. Using carefully chosen image features, ML is frequently used to allow accu

SUBMITTER: Booth TC 

PROVIDER: S-EPMC6927796 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature