78 citations · 83 across the 7 of their papers we have counts for
4 papers · 1 filter
Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector
Marc Aubreville, Jonathan Ganz, Jonas Ammeling +4
Mitotic activity is key for the assessment of malignancy in many tumors. Moreover, it has been demonstrated that the proportion of abnormal mitosis to normal mitosis is of prognost…
Enabling Collagen Quantification on HE-stained Slides Through Stain Deconvolution and Restained HE-HES
Guillaume Balezo, Christof A. Bertram, Cyprien Tilmant +3
In histology, the presence of collagen in the extra-cellular matrix has both diagnostic and prognostic value for cancer malignancy, and can be highlighted by adding Saffron (S) to…
Interpretable HER2 scoring by evaluating clinical Guidelines through a weakly supervised, constrained Deep Learning Approach
Manh Dan Pham, Cyprien Tilmant, Stéphanie Petit +3
The evaluation of the Human Epidermal growth factor Receptor-2 (HER2) expression is an important prognostic biomarker for breast cancer treatment selection. However, HER2 scoring h…
Recommendations on test datasets for evaluating AI solutions in pathology
André Homeyer, Christian Geißler, Lars Ole Schwen +27
Artificial intelligence (AI) solutions that automatically extract information from digital histology images have shown great promise for improving pathological diagnosis. Prior to…