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PreprintAll rights reservedbioRxiv

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

  1. 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  -