3 citations · 5 across the 3 of their papers we have counts for
3 papers
Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology
Milda Pocevičiūtė, Gabriel Eilertsen, Sofia Jarkman +1
Deep learning (DL) has shown great potential in digital pathology applications. The robustness of a diagnostic DL-based solution is essential for safe clinical deployment. In this…
Ensembles of GANs for synthetic training data generation
Gabriel Eilertsen, Apostolia Tsirikoglou, Claes Lundström +1
Insufficient training data is a major bottleneck for most deep learning practices, not least in medical imaging where data is difficult to collect and publicly available datasets a…
Scale Stain: Multi-Resolution Feature Enhancement in Pathology Visualization
Jesper Molin, Anna Bodén, Darren Treanor +2
Digital whole-slide images of pathological tissue samples have recently become feasible for use within routine diagnostic practice. These gigapixel sized images enable pathologists…