Interpretable machine learning for urothelial cells classification and risk scoring in urine cytology
Lei Xiong, Xinyi Cao, Yu Shang, Zongyue Lu, Hao Jiang, Chang Shi, Chengzhi Zhang, Zhongjing Ma, Lili Tian, Xiaojie Wang, Jiwei Liu, Jia Li, Fengqi Fang · iScience · 2025
< 0.0001). Through alignment with established cytologic criteria, this feature-based framework provides a transparent and quantitative approach that may improve consistency, efficiency, and interpretability in digital urinary cytology.