Ultrasound carotid plaque segmentation via image reconstruction-based self-supervised learning with limited training labels

Ultrasound carotid plaque segmentation via image reconstruction-based self-supervised learning with limited training labels

Carotid total plaque area (TPA) is an important contributing measurement to the evaluation of stroke risk. Deep learning provides an efficient method for ultrasound carotid plaque segmentation and TPA quantification. However, high performance of deep learning requires datasets with many labeled imag...

Full description

Bibliographic Details
Main Authors: Ran Zhou, Yanghan Ou, Xiaoyue Fang, M. Reza Azarpazhooh, Haitao Gan, Zhiwei Ye, J. David Spence, Xiangyang Xu, Aaron Fenster
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
carotid plaque
ultrasound image segmentation
self-supervised learning
convolutional neural network
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023074?viewType=HTML

Internet

https://www.aimspress.com/article/doi/10.3934/mbe.2023074?viewType=HTML

Similar Items