Single-sample image-fusion upsampling of fluorescence lifetime images
Fluorescence lifetime imaging microscopy (FLIM) provides detailed information about
molecular interactions and biological processes. A major bottleneck for FLIM is image …
molecular interactions and biological processes. A major bottleneck for FLIM is image …
Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types
As vast histological archives are digitised, there is a pressing need to be able to associate
specific tissue substructures and incident pathology to disease outcomes without arduous …
specific tissue substructures and incident pathology to disease outcomes without arduous …
[HTML][HTML] Assessment of the current and emerging criteria for the histopathological classification of lung neuroendocrine tumours in the lungNENomics project
É Mathian, Y Drouet, A Sexton-Oates, MG Papotti… - ESMO open, 2024 - Elsevier
Background Six thoracic pathologists reviewed 259 lung neuroendocrine tumours (LNETs)
from the lungNENomics project, with 171 of them having associated survival data. This …
from the lungNENomics project, with 171 of them having associated survival data. This …
[HTML][HTML] Self-supervised artificial intelligence predicts recurrence, metastasis and disease specific death from primary cutaneous squamous cell carcinoma at …
Primary cutaneous squamous cell carcinoma (cSCC) is responsible for~ 10,000 deaths
annually in the United States. Stratification of risk of poor outcome (PO) including …
annually in the United States. Stratification of risk of poor outcome (PO) including …