NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer

Abstract Background Deep learning enables accurate high-resolution mapping of cells and tissue structures that can serve as the foundation of interpretable machine-learning models for computational pathology. However, generating adequate labels for these structures is a critical barrier, given the t... View More