MoMIL: Multi-order Enhanced Multiple Instance Learning for Computational Pathology
Published in Image and Vision Computing, 167, 105918, 2026
MoMIL continues my work in computational pathology and studies how multi-order enhanced multiple instance learning can improve slide-level representation learning for whole-slide image analysis.
The paper is part of an ongoing line of research around better sequence modeling and aggregation strategies for pathology applications.
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Recommended citation: Yuqi Zhang, Xiaoqian Zhang, Jiakai Wang, Baoyu Liang, Yuancheng Yang, and Chao Tong. (2026). "MoMIL: Multi-order Enhanced Multiple Instance Learning for Computational Pathology." Image and Vision Computing, 167, 105918.
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