BioinformaticsBBA AdvancesPeer-reviewed
Automated image analysis method to detect and quantify fat cell infiltration in hematoxylin and eosin stained human pancreas histology images
Roshan Ratnakar Naik, Annie Rajan, Nehal Kalita
The paper introduces Fatquant, an automated tool to detect and quantify fat cells in heterogeneous H&E-stained human pancreas images, achieving high accuracy compared to manual analysis.