Work

2D U-NET Deep Learning Architecture for Atherosclerotic Lesion Segmentation and Quantification

Year: 2026

Type: preprint

Source: bioRxiv (Cold Spring Harbor Laboratory)

DOI: 10.64898/2026.10.31.763364

Authors: William Giles, Zita Venetianer, Nikita Patel, Monique Bautista Neughebauer, Ashley M Abramson, Andrew T Granger, Nicholas James Tustison, Weibin Shi

Institution: University of Virginia

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7225257582

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