Repeatability and Reproducibility of Radiomic Features: A Systematic Review

2018839 citationsReviewhybrid Open Access

Authors

Alberto Traverso · Maastricht University

Robert J. Gillies · Moffitt Cancer Center

Abstract

Investigations of feature repeatability and reproducibility are currently limited to a small number of cancer types. Reporting quality could be improved regarding details of feature extraction software, digital image manipulation (preprocessing), and the cutoff value used to distinguish stable features.

Topics & Keywords

Radiomics and Machine Learning in Medical Imaging Advanced X-ray and CT Imaging MRI in cancer diagnosis

UN Sustainable Development Goals

Peace, Justice and strong institutions

Publication Details

Published in: International Journal of Radiation Oncology*Biology*Physics

Volume 102, Issue 4, pp. 1143-1158

DOI: 10.1016/j.ijrobp.2018.05.053

Field-Weighted Citation Impact: 61.69