New publication: Machine-learning for quantitative histopathology of piglet intestinal tissues: challenges with limited training data

New month, new publication! 🎉

Our researcher adds another paper to the growing list of PIG-PARADIGM outputs! We’re thrilled to share the fourth article published since the summer, now out in Frontiers in Veterinary Science:

“Machine-learning for quantitative histopathology of piglet intestinal tissues: challenges with limited training data” by Cecilie Brandt Becker (PhD, University of Copenhagen) and team.

 This study aimed to evaluate the feasibility and limitations of applying supervised machine-learning(ML) on histopathological samples with limited training data, exemplified by training an ML model to segment the intestinal wall into its histological layers.

 📖 Read the full article here:  https://doi.org/10.3389/fvets.2025.1620338