TFE3 and renal cell carcinoma: Our results demonstrated the promising power of applying machine-learning models based on quantitative histopathological features to differentiate between TFE3-RCC and ccRCC, with impressive accuracy (AUC between 0.842 and 0.894) on the external validation set.