2D U-NET Deep Learning Architecture for Atherosclerotic Lesion Segmentation and Quantification
William Giles, Zita Venetianer, Nikita Patel, Monique Bautista Neughebauer, Ashley M Abramson, Andrew T Granger, Nicholas James Tustison, Weibin Shi
This paper develops a 2D U-NET model to segment and quantify atherosclerotic lesions in mouse aortic sections, achieving high accuracy and significantly reducing measurement time.
bioRxiv · Nov 4, 2026 · PreprintBioinformatics