4 citations · 12 across the 14 of their papers we have counts for
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cs.CV2023
Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis
Honglin Li, Yunlong Zhang, Chenglu Zhu +3
Histopathology image analysis is the golden standard of clinical diagnosis for Cancers. In doctors daily routine and computer-aided diagnosis, the Whole Slide Image (WSI) of histop…
cs.CV2023★ 3 cited
WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images
Pingyi Chen, Honglin Li, Chenglu Zhu +3
Whole slide images are the foundation of digital pathology for the diagnosis and treatment of carcinomas. Writing pathology reports is laborious and error-prone for inexperienced p…
cs.CV2023★ 4 cited
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification
Yunlong Zhang, Honglin Li, Yuxuan Sun +3
In the application of Multiple Instance Learning (MIL) methods for Whole Slide Image (WSI) classification, attention mechanisms often focus on a subset of discriminative instances,…