Carotid atherosclerotic plaque segmentation in multi-weighted MRI using a two-stage neural network: Advantages of training with high-resolution imaging and histology

Authors

Ran Li, Washington University School of Medicine in St. Louis
Jie Zheng, Washington University School of Medicine in St. Louis
Mohamed A Zayed, Washington University School of Medicine in St. Louis
Jeffrey E Saffitz, Beth Israel Deaconess Medical Center
Pamela K Woodard, Washington University School of Medicine in St. Louis
Abhinav K Jha, Washington University School of Medicine in St. Louis

Journal

Frontiers in Cardiovascular Medicine

Publication Date

1-1-2023

Volume

10

First Page

1127653

Document Type

Open Access Publication

DOI

10.3389/fcvm.2023.1127653

Rights and Permissions

Li R, Zheng J, Zayed MA, Saffitz JE, Woodard PK and Jha AK (2023) Carotid atherosclerotic plaque segmentation in multi-weighted MRI using a two-stage neural network: advantages of training with high-resolution imaging and histology. Front. Cardiovasc. Med. 10:1127653. doi: 10.3389/fcvm.2023.1127653 © 2023 Li, Zheng, Zayed, Saffitz, Woodard and Jha. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Recommended Citation

Li, Ran; Zheng, Jie; Zayed, Mohamed A; Saffitz, Jeffrey E; Woodard, Pamela K; and Jha, Abhinav K, "Carotid atherosclerotic plaque segmentation in multi-weighted MRI using a two-stage neural network: Advantages of training with high-resolution imaging and histology." Frontiers in Cardiovascular Medicine. 10, 1127653 (2023).
https://digitalcommons.wustl.edu/oa_4/2922

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.