Search Results for author:
Found 3 papers, 2 papers with code
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis
Considering that the information from different resolutions is complementary and can benefit each other during the learning process, we further design a novel Bidirectional Interaction block to establish communication between different levels within the WSI pyramids.
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
In this paper, we propose the FIRST continual learning framework for WSI analysis, named ConSlide, to tackle the challenges of enormous image size, utilization of hierarchical structure, and catastrophic forgetting by progressive model updating on multiple sequential datasets.
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis
Whole slide image (WSI) has been widely used to assist automated diagnosis under the deep learning fields.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
