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Title

Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients

Authors
Nazari, Mostafa
Published in Computers in biology and medicine. 2021, vol. 129, 104135
Abstract The aim of this study was to develop radiomics–based machine learning models based on extracted radiomic features and clinical information to predict the risk of death within 5 years for prognosis of clear cell renal cell carcinoma (ccRCC) patients.
Keywords CTMachine learningRadiomicsRenal cell carcinomaSurvival prediction
Identifiers
PMID: 33254045
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Structures
Research group Imagerie Médicale (TEP et TEMP) (542)
Project
Swiss National Science Foundation: 320030_176052
Citation
(ISO format)
NAZARI, Mostafa, SHIRI LORD, Isaac, ZAIDI, Habib. Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients. In: Computers in Biology and Medicine, 2021, vol. 129, p. 104135. doi: 10.1016/j.compbiomed.2020.104135 https://archive-ouverte.unige.ch/unige:148868

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Deposited on : 2021-02-09

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