ccRCC_WHO_data

Clear cell renal cell carcinoma is the most prevalent and aggressive subtype of kidney cancer. It is characterized by malignant proliferation of epithelial cells in the proximal convoluted tubules and is driven by specific genetic alterations. Therefore, the histological analysis of pathological images plays a critical role in enabling definitive diagnosis, accurate severity grading, identification of sarcomatoid features, and guidance for treatment strategies such as targeted therapy and immunotherapy. To support such analyses, we introduce a comprehensive pathology image dataset consisting of 2248 whole-slide images from 403 patients, along with an Excel sheet containing seven key clinical parameters including patient ID, gender, age, WHO/ISUP grade, necrosis status, lymphovascular invasion, and renal confinement. We further evaluated the utility of this dataset using twelve mainstream deep learning models for the classification of the images into four WHO/ISUP nuclear grade categories.