HRU-Net: A Transfer Learning Method for Carotid Artery Plaque Segmentation in Ultrasound Images

HRU-Net: A Transfer Learning Method for Carotid Artery Plaque Segmentation in Ultrasound Images

Carotid artery stenotic plaque segmentation in ultrasound images is a crucial means for the analysis of plaque components and vulnerability. However, segmentation of severe stenotic plaques remains a challenging task because of the heterogeneities of inter-plaques and intra-plaques, and obscure boun...

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Bibliographic Details
Main Authors: Yanchao Yuan, Cancheng Li, Ke Zhang, Yang Hua, Jicong Zhang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Diagnostics
Subjects:
carotid ultrasound
plaques segmentation
CNN
atrous convolutions
transfer learning
Online Access:https://www.mdpi.com/2075-4418/12/11/2852

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