13 citations · 15 across the 2 of their papers we have counts for
2 papers
eess.IV2019★ 13 cited
Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection
Nicolas Brieu, Armin Meier, Ansh Kapil +4
The detection of nuclei is one of the most fundamental components of computational pathology. Current state-of-the-art methods are based on deep learning, with the prerequisite tha…
stat.ME2017★ 2 cited
Unusual structures inherent in point pattern data predict colon cancer patient survival
Charlotte M. Jones-Todd, Peter Caie, Janine Illian +4
Cancer patient diagnosis and prognosis is informed by assessment of morphological properties observed in patient tissue. Pathologists normally carry out this assessment, yet advanc…