3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation
Wentao Pan, Jiangpeng Yan, Hanbo Chen +4
Recently, deep neural networks have greatly advanced histopathology image segmentation but usually require abundant annotated data. However, due to the gigapixel scale of whole sli…
cs.CV2022★ 3 cited
Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification
Zhikang Wang, Yue Bi, Tong Pan +6
Multiple instance learning (MIL) is a powerful approach to classify whole slide images (WSIs) for diagnostic pathology. A fundamental challenge of MIL on WSI classification is to d…
cs.CV2022
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification
Jiawei Yang, Hanbo Chen, Yu Zhao +4
Whole slide image (WSI) classification often relies on deep weakly supervised multiple instance learning (MIL) methods to handle gigapixel resolution images and slide-level labels.…