A machine learning-based predictive model of epidermal growth factor mutations in lung adenocarcinomas

HIGHLIGHTS

• who: Ruimin He et al. from the School of Nuclear Science and Technology, University of South China, Hengyang, China have published the paper: A Machine Learning-Based Predictive Model of Epidermal Growth Factor Mutations in Lung Adenocarcinomas, in the Journal: Cancers 2022, 14, x FOR PEER REVIEW of 20/07/2021
• what: The authors proposed a machine_learning-based method to identify imaging biomarkers of EGFR mutations in domestic NSCLC patients through imaging analysis. The aim of the current study was to establish a non-invasive, novel genetic detection method via the correlation of radiomic features . . .
  

   

  

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