Open AccessRadiomics in oncology - uncovering tumor phenotype from medical images: a short introduction
Author(s) -
Matea Pavic,
Janita E. van Timmeren
Publication year - 2021
Publication title -
journal of radiation oncology informatics
Language(s) - English
Resource type - Journals
ISSN - 1663-618X
DOI - 10.5166/jroi.11.1.2
Subject(s) - radiomics , workflow , medical physics , phenotype , computer science , medical imaging , precision medicine , medicine , artificial intelligence , computational biology , data science , pathology , biology , biochemistry , database , gene
Radiomics is a promising method to quantify and describe the tumor phenotype on medical images. High numbers of image features are extracted from medical images and can be used within a clinical decision support system by integrating this data with clinical and pathological variables. Herein, we give a short introduction into this image analysis method and present an overview on the workflow.