Radiomics and Machine Learning in Brain Tumors and Their Habitat: A Systematic Review.

ABSTRACT: Radiomics is a rapidly evolving field that involves extracting and analysing quantitative features from medical images, such as computed tomography or magnetic resonance images. Radiomics has shown promise in brain tumor diagnosis and patient-prognosis prediction by providing more detailed and objective information about tumors' features than can be obtained from the visual inspection of the images alone. Radiomics data can be analyzed to determine their correlation with a tumor's genetic status and grade, as well as in the assessment of its recurrence vs. therapeutic response, among other features. In consideration of the multi-parametric and high-dimensional space of features extracted by radiomics, machine learning can further improve tumor diagnosis, treatment response, and patients' p

SUBMITTER: Tabassum M 

PROVIDER: S-EPMC10417709 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature