Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion
European Radiology
July 2020
The purpose of this study was to develop a deep learning-based method for the automated classification of renal cell carcinoma (RCC) from benign solid renal masses using contrast-enhanced computed tomography (CECT) images. The authors determined that a semi-automated majority voting convolutional neural network (CNN) based methodology enabled the accurate classification of RCC from benign neoplasms among solid renal masses on