6 papers
Artificial Intelligence-Based Classification of Spitz Tumors
Ruben T. Lucassen, Marjanna Romers, Chiel F. Ebbelaar +10
Spitz tumors are diagnostically challenging due to overlap in atypical histological features with conventional melanomas. We investigated to what extent AI models, using histologic…
Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions
Ruben T. Lucassen, Sander P. J. Moonemans, Tijn van de Luijtgaarden +3
Millions of melanocytic skin lesions are examined by pathologists each year, the majority of which concern common nevi (i.e., ordinary moles). While most of these lesions can be di…
On the Importance of Text Preprocessing for Multimodal Representation Learning and Pathology Report Generation
Ruben T. Lucassen, Tijn van de Luijtgaarden, Sander P. J. Moonemans +3
Vision-language models in pathology enable multimodal case retrieval and automated report generation. Many of the models developed so far, however, have been trained on pathology r…
Artificial Intelligence-Based Triaging of Cutaneous Melanocytic Lesions
Ruben T. Lucassen, Nikolas Stathonikos, Gerben E. Breimer +2
Pathologists are facing an increasing workload due to a growing volume of cases and the need for more comprehensive diagnoses. Aiming to facilitate workload reduction and faster tu…
Tissue Cross-Section and Pen Marking Segmentation in Whole Slide Images
Ruben T. Lucassen, Willeke A. M. Blokx, Mitko Veta
Tissue segmentation is a routine preprocessing step to reduce the computational cost of whole slide image (WSI) analysis by excluding background regions. Traditional image processi…
Corneal Pachymetry by AS-OCT after Descemet's Membrane Endothelial Keratoplasty
Friso G. Heslinga, Ruben T. Lucassen, Myrthe A. van den Berg +5
Corneal thickness (pachymetry) maps can be used to monitor restoration of corneal endothelial function, for example after Descemet's membrane endothelial keratoplasty (DMEK). Autom…