most citedMixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2024

Zero-shot domain adaptation based on dual-level mix and contrast

Yu Zhe, Jun Sakuma

Zero-shot domain adaptation (ZSDA) is a domain adaptation problem in the situation that labeled samples for a target task (task of interest) are only available from the source doma…

cs.CV2023★ 1 cited

Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping

Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi +3

Whole-slide image analysis via the means of computational pathology often relies on processing tessellated gigapixel images with only slide-level labels available. Applying multipl…