3 papers
cs.CV2025
AHDMIL: Asymmetric Hierarchical Distillation Multi-Instance Learning for Fast and Accurate Whole-Slide Image Classification
Jiuyang Dong, Jiahan Li, Junjun Jiang +2
Although multi-instance learning (MIL) has succeeded in pathological image classification, it faces the challenge of high inference costs due to the need to process thousands of pa…
cs.CV2025
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
Jiuyang Dong, Junjun Jiang, Kui Jiang +2
Although multi-instance learning (MIL) has succeeded in pathological image classification, it faces the challenge of high inference costs due to processing numerous patches from gi…
cs.CV2024
SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation
Ye Zhang, Linghan Cai, Ziyue Wang +1
Nuclei instance segmentation in histopathological images is of great importance for biological analysis and cancer diagnosis but remains challenging for two reasons. (1) Similar vi…