Václav Liška

The paper develops a deep learning pipeline using U-Net models to segment hepatic vessels and lobules in histological images, achieving high Dice scores for various structures.

This study compares lobular geometry and CYP450 zonation across four species using whole slide imaging, identifying species differences and determining the minimum number of lobules needed for statistical analysis.