SMMILe enables accurate spatial quantification in digital pathology using multiple-instance learning
19 November 2025 at 08:00
Nature Cancer, Published online: 19 November 2025; doi:10.1038/s43018-025-01060-8
Gao et al. present SMMILe, a multiple-instance learning-based tool that leverages whole-slide images for accurate spatial quantification without compromising on classification performance, and show it outperforms state-of-the-art methods.