no code implementations • 29 Jul 2020 • Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmacek, Christoph Brune, Abeje Mersha, Stefano Stramigioli
We propose a method that aims at learning a mapping from the observations into a lower-dimensional state space.
no code implementations • 17 Mar 2017 • Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
Tissue segmentation is an important pre-requisite for efficient and accurate diagnostics in digital pathology.