1 citations · 3 across the 3 of their papers we have counts for
3 papers
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…
Transformer-based Personalized Attention Mechanism for Medical Images with Clinical Records
Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda +4
In medical image diagnosis, identifying the attention region, i.e., the region of interest for which the diagnosis is made, is an important task. Various methods have been develope…
Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learning
Noriaki Hashimoto, Yusuke Takagi, Hiroki Masuda +20
In the present study, we propose a novel case-based similar image retrieval (SIR) method for hematoxylin and eosin (H&E)-stained histopathological images of malignant lymphoma. Whe…