We used Renal cancer digital pathology images of The Cancer Genome Atlas Program (TCGA) database and the First Affiliated Hospital of Zhejiang University, School of Medicine (FAHZU) to construct classification models based on ResNet18 and 50 with accuracy of more than 90%. The following are the main parameter files for the models: