HistoGraph brings together three computer science partners with three medical centres to develop novel techniques for automatic diagnosis from whole slide images. The project will develop a graph based framework that will use state-of-the-art stain invariant feature extraction techniques to integrate multi-modal information at the slide level to automatically predict grading severity.
News:
- 2025
- Sep - N. Kormann has joined l'X as a PhD student under HistoGraph
- Jul - We presented some of the project's findings to Roche
- Jul - Z. Nisar has joined ICube as a PostDoctoral research under HistoGraph
- Jun - Our article 'HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification' authored by N. Kormann et al was accepted in Medical Imaging with Deep Learning (MIDL) 2025
- 2024
- Jun - The project's first article (co-funded by the ITI HealthTech at the University of Strasbourg) titled 'StairwayToStain: A Gradual Stain Translation Approach for Glomeruli Segmentation' authored by A. Alhaj Abdo et al was accepted in COMPAYL Workshop at MICCAI 2024
- Apr - Project Kickoff!