3 papers
cs.CV2026
Understanding Cell Fate Decisions with Temporal Attention
Florian Bürger, Martim Dias Gomes, Adrián E. Granada +2
Understanding non-genetic determinants of cell fate is critical for developing and improving cancer therapies, as genetically identical cells can exhibit divergent outcomes under t…
cs.CV2026
Context-aware Skin Cancer Epithelial Cell Classification with Scalable Graph Transformers
Lucas Sancéré, Noémie Moreau, Katarzyna Bozek
Whole-slide images (WSIs) from cancer patients contain rich information that can be used for medical diagnosis or to follow treatment progress. To automate their analysis, numerous…
cs.CV2026
AMAP-APP: Efficient Segmentation and Morphometry Quantification of Fluorescent Microscopy Images of Podocytes
Arash Fatehi, David Unnersjö-Jess, Linus Butt +3
Background: Automated podocyte foot process quantification is vital for kidney research, but the established "Automatic Morphological Analysis of Podocytes" (AMAP) method is hinder…