78 citations · 78 across the 1 of their papers we have counts for
2 papers
eess.IV2022★ 78 cited
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…
eess.IV2021
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning
Nassim Bouteldja, Barbara Mara Klinkhammer, Tarek Schlaich +2
In digital pathology, many image analysis tasks are challenged by the need for large and time-consuming manual data annotations to cope with various sources of variability in the i…