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...

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Bibliographic Details

Published in:	Mathematical biosciences and engineering : MBE Vol. 20; no. 2; pp. 1617 - 1636
Main Authors:	Zhou, Ran, Ou, Yanghan, Fang, Xiaoyue, Azarpazhooh, M. Reza, Gan, Haitao, Ye, Zhiwei, Spence, J. David, Xu, Xiangyang, Fenster, Aaron
Format:	Journal Article
Language:	English
Published:	United States AIMS Press 01.01.2023
Subjects:	Algorithms Carotid Arteries - diagnostic imaging carotid plaque convolutional neural network Humans Image Processing, Computer-Assisted - methods self-supervised learning Supervised Machine Learning Ultrasonography ultrasound image segmentation ultrasound image segmentation self-supervised learning carotid plaque convolutional neural network
ISSN:	1551-0018, 1551-0018
Online Access:	Get full text
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