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Presentations & Posters

Stain-transforming cycle-consistent generative adversarial networks for improved segmentation of renal histopathology
Stain-transforming cycle-consistent generative adversarial networks for improved segmentation of renal histopathology

Thomas de Bel, Meyke Hermsen, Jesper Kers, Jeroen van der Laak, Geert Litjens

Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification
Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification

Koen Dercksen, Wouter Bulten, Geert Litjens

From Point Annotations to Epithelial Cell Detection in Breast Cancer Histopathology using RetinaNet
From Point Annotations to Epithelial Cell Detection in Breast Cancer Histopathology using RetinaNet

Caner Mercan, Maschenka Balkenhol, Jeroen van der Laak, Francesco Ciompi

Learning from sparsely annotated data for semantic segmentation in histopathology images
Learning from sparsely annotated data for semantic segmentation in histopathology images

John-Melle Bokhorst, Hans Pinckaers, Peter van Zwam, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi

Training convolutional neural networks with megapixel images
Training convolutional neural networks with megapixel images

Hans Pinckaers, Geert Litjens

Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders
Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders

Wouter Bulten, Geert Litjens