APA (7th ed.) Citation

Song, Y., Lin, T., Peng, D., Yang, S., & Xu, Y. (2025). SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images.

Chicago Style (17th ed.) Citation

Song, Yicheng, Tiancheng Lin, Die Peng, Su Yang, and Yi Xu. SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images. 2025.

MLA (9th ed.) Citation

Song, Yicheng, et al. SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images. 2025.