UC2: Dataset for Prostate Cancer Characterization

The UC2: Dataset for Prostate Cancer Characterization is designed to support the classification of prostate cancer into clinically significant and non-significant categories based on imaging findings and other diagnostic data. This dataset comprises patient data with suspicious MRI findings, enabling the development of AI models that can assess the biological aggressiveness of prostate tumors. The primary objective of UC2 is to enable accurate stratification of patients into high-risk and low-risk categories. High-risk patients—those with aggressive tumors—are candidates for radical treatments to prevent disease progression and metastasis. In contrast, patients with low-risk, indolent disease can be safely managed through active surveillance, thereby avoiding the unnecessary side effects of invasive treatments. By supporting risk-adaptive management strategies, this dataset plays a crucial role in balancing oncological safety with quality of life. It contributes to personalized care by ensuring that each patient receives the most appropriate intervention based on the aggressiveness of their disease.