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2D U-NET Deep Learning Architecture for Atherosclerotic Lesion Segmentation and Quantification
- 1University of Virginia
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BibTeX
@misc{giles2026unet,
title = {{2D U-NET Deep Learning Architecture for Atherosclerotic Lesion Segmentation and Quantification}},
author = {W. Giles and Z. Venetianer and N. Patel and M. B. Neughebauer and A. M. Abramson and A. T. Granger and N. J. Tustison and W. Shi},
howpublished = {bioRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.31.763364},
url = {https://www.biorxiv.org/content/10.64898/2026.10.31.763364v1},
}
RIS
TY - UNPB
TI - 2D U-NET Deep Learning Architecture for Atherosclerotic Lesion Segmentation and Quantification
AU - W. Giles
AU - Z. Venetianer
AU - N. Patel
AU - M. B. Neughebauer
AU - A. M. Abramson
AU - A. T. Granger
AU - N. J. Tustison
AU - W. Shi
PY - 2026
DA - 2026/10/31
PB - bioRxiv
DO - 10.64898/2026.10.31.763364
UR - https://www.biorxiv.org/content/10.64898/2026.10.31.763364v1
ER -