3 papers
cs.CV2025
Isolated Channel Vision Transformers: From Single-Channel Pretraining to Multi-Channel Finetuning
Wenyi Lian, Patrick Micke, Joakim Lindblad +1
Vision Transformers (ViTs) have achieved remarkable success in standard RGB image processing tasks. However, applying ViTs to multi-channel imaging (MCI) data, e.g., for medical an…
cs.CV2025
An Image is Worth Topics: A Visual Structural Topic Model with Pretrained Image Embeddings
MatÃas Piqueras, Alexandra Segerberg, Matteo Magnani +2
Political scientists are increasingly interested in analyzing visual content at scale. However, the existing computational toolbox is still in need of methods and models attuned to…
cs.CV2025
A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology
Marco Acerbis, Nataša Sladoje, Joakim Lindblad
Accurate and efficient cell detection is crucial in many biomedical image analysis tasks. We evaluate the performance of several Deep Learning (DL) methods for cell detection in Pa…