Search Results for author:
Found 3 papers, 1 papers with code
Artificial Intelligence for Digital and Computational Pathology
Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence, including deep learning, have boosted the field of computational pathology.
A General-Purpose Self-Supervised Model for Computational Pathology
Tissue phenotyping is a fundamental computational pathology (CPath) task in learning objective characterizations of histopathologic biomarkers in anatomic pathology.
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction
We propose fusing both modalities using a memory-efficient multimodal Transformer that can model interactions between pathway and histology patch tokens.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
