The clinical promise of computational pathology increasingly depends on foundation model-based pipelines, yet the morphological concepts encoded by these systems remain poorly understood. We address this gap with a concept-level visualization framework using class visualizations (CVs) and activation atlases (AAs) in a...
M. Gustav, F. Wolf, Christina Glasner et al.· Cell Reports Medicine· 0 citations
Contrastive vision-language (VL) pretraining in computational pathology has generally relied on curated image-caption datasets sourced from social media, educational videos, and research publications. These corpora are sparse relative to the diversity of tissue morphology and difficult to scale further, as pathologists...
Daniel Shao, Dongmin Bang, Luca L. Weishaupt et al.· 0 citations
Pathology vision-language models are advancing rapidly, yet existing benchmarks remain focused on human tissue, particularly oncology, leaving non-human pathology largely unaddressed. This gap is especially important in toxicologic pathology, where microscopic tissue examination of laboratory animals is a core componen...
Luca L. Weishaupt, S. de Brot, Javier Asin et al.· 0 citations
Pediatric adrenocortical tumors are rare, clinically heterogeneous neoplasms with unpredictable outcomes and limited treatment options. Through integrated multi-omic analysis of 214 pediatric adrenocortical tumors combining DNA methylation profiling, transcriptomics, chromatin accessibility, and spatial deconvolution,...
V. Fincke, Maurice Loßner, M. Kunstreich et al.· Nature Communications· 0 citations
Functional assays demonstrated that WNT activation enhances tumor progression in immunocompetent settings, indicating immune evasion as a key driver of malignant progression.
M. Mastel, A. Guiseris Martinez, Umberto Pozza et al.· Gastroenterology· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
