IMA-GAAE: an accurate grading framework for uterine corpus endometrial carcinoma based on multidimensional interpretable feature selection and graph adversarial network

Jie Shi, Ying Su, Hao Liu, Chen Chen, Xuecong Tian, Wenjia Guo, Cheng Chen, Xiaoyi Lv. IMA-GAAE: an accurate grading framework for uterine corpus endometrial carcinoma based on multidimensional interpretable feature selection and graph adversarial network. Int. J. Machine Learning & Cybernetics, 17(4):179, April 2026. [doi]

Abstract

Abstract is missing.