Dataset on acute stroke risk stratification from CT angiographic radiomics.

ABSTRACT: With advances in high-throughput image processing technologies and increasing availability of medical mega-data, the growing field of radiomics opened the door for quantitative analysis of medical images for prediction of clinically relevant information. One clinical area in which radiomics have proven useful is stroke neuroimaging, where rapid treatment triage is vital for patient outcomes and automated decision assistance tools have potential for significant clinical impact. Recent research, for example, has applied radiomics features extracted from CT angiography (CTA) images and a machine learning framework to facilitate risk-stratification in acute stroke. We here provide methodological guidelines and radiomics data supporting the referenced article "CT angiographic radiomics signatur

SUBMITTER: Avery EW 

PROVIDER: S-EPMC9428796 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature