Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning

no code implementations • 16 Dec 2021 • Nassim Bouteldja, Barbara Mara Klinkhammer, Tarek Schlaich, Peter Boor, Dorit Merhof

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 image domain.

Image-to-Image Translation Meta-Learning +3