Automated Detection and Diameter Estimation for Mouse Mesenteric Artery using Semantic Segmentation
A. Higaki, A. U. M. Mahmoud, P. Paradis, E. L. Schiffrin
This paper develops a U-Net-based system for automated artery-vein differentiation and size measurement in mouse mesenteric arteries, achieving high accuracy in segmentation and correlation with manual measurements.
bioRxiv · Oct 28, 2020Physiology