A dual-modal dynamic contour-based method for cervical vascular ultrasound image instance segmentation

A dual-modal dynamic contour-based method for cervical vascular ultrasound image instance segmentation

Objectives: We intend to develop a dual-modal dynamic contour-based instance segmentation method that is based on carotid artery and jugular vein ultrasound and its optical flow image, then we evaluate its performance in comparison with the classic single-modal deep learning networks. Method: We col...

Full description

Bibliographic Details
Main Authors: Chenkai Chang, Fei Qi, Chang Xu, Yiwei Shen, Qingwu Li
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
deep learning
dual-modal
instance segmentation
ultrasound-optical flow image
cervical vascular
Online Access:https://aimspress.com/article/doi/10.3934/mbe.2024043?viewType=HTML

Internet

https://aimspress.com/article/doi/10.3934/mbe.2024043?viewType=HTML

Similar Items