Using stacked deep learning models based on PET/CT images and clinical data to predict EGFR mutations in lung cancer

Abstract

Using stack generalization, the deep learning model was able to efficiently combine the anatomic and biological imaging information gathered from PET/CT images with clinical data. This stacked deep learning model showed a strong ability to predict <i>EGFR</i> mutations with high accuracy.