Presentations & Posters

Nuclei detection with YOLOv5 in PD-L1 stained non-small cell lung cancer whole slide images
Nuclei detection with YOLOv5 in PD-L1 stained non-small cell lung cancer whole slide images

Leander van Eekelen, Enrico Munari, Luca Dulce Meesters, Gabriel Silva de Souza, Muradije Demirel-Andishmand, Daan Zegers, Monika Looijen-Salamon, Shoko Vos, Francesco Ciompi

Abstract arXiv
Inter-rater agreement of pathologists on determining PD-L1 status in non-small cell lung cancer
Inter-rater agreement of pathologists on determining PD-L1 status in non-small cell lung cancer

Leander van Eekelen, Enrico Munari, Ilaria Girolami, Albino Eccher, Jeroen van der Laak, Katrien Grünberg, Monika Looijen-Salamon, Shoko Vos, Francesco Ciompi

Abstract arXiv
Deep learning-based histopathological assessment of renal tissue
Deep learning-based histopathological assessment of renal tissue

Meyke Hermsen, Thomas de Bel, Marjolijn den Boer, Eric Steenbergen, Jesper Kers, Sandrine Florquin, Joris Roelofs, Mark Stegall, Mariam Alexander, Byron Smith, Bart Smeets, Luuk Hilbrands, Jeroen van der Laak

Abstract arXiv
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

Abstract arXiv
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

Abstract arXiv
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

Abstract arXiv
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

Abstract arXiv
Training convolutional neural networks with megapixel images
Training convolutional neural networks with megapixel images

Hans Pinckaers, Geert Litjens

Abstract arXiv
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

Abstract arXiv