Radiomics in oncology - uncovering tumor phenotype from medical images: a short introduction

  • Matea Pavic Department of Radiation Oncology, University Hospital Zurich and University Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
  • Janita E. van Timmeren Department of Radiation Oncology, University Hospital Zurich and University Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
Keywords: Radiomics, Image analysis, Machine learning, Prognostic modelling, Clinical decision support system

Abstract

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.

Published
2021-08-18
How to Cite
Pavic, M., & Van Timmeren, J. (2021). Radiomics in oncology - uncovering tumor phenotype from medical images: a short introduction . Journal of Radiation Oncology Informatics, 11(1), 4. https://doi.org/10.5166/jroi.11.1.2
Section
Articles