3 citations · 3 across the 2 of their papers we have counts for
3 papers
Characterizing the Interpretability of Attention Maps in Digital Pathology
Tomé Albuquerque, Anil Yüce, Markus D. Herrmann +1
Interpreting machine learning model decisions is crucial for high-risk applications like healthcare. In digital pathology, large whole slide images (WSIs) are decomposed into small…
Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks
Victor Ibañez, Przemyslaw Szostak, Quincy Wong +3
Graph convolutional networks (GCNs) have emerged as a powerful alternative to multiple instance learning with convolutional neural networks in digital pathology, offering superior…
The Importance of Downstream Networks in Digital Pathology Foundation Models
Gustav Bredell, Marcel Fischer, Przemyslaw Szostak +2
Digital pathology has significantly advanced disease detection and pathologist efficiency through the analysis of gigapixel whole-slide images (WSI). In this process, WSIs are firs…