Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation
作者：
Highlights：
• A novel single-step approach for automatic carotid artery image interpretation.
• The method is also accurate and objective for CIMT estimation and plaque detection.
• The proposed method is easily extensible to different CA territories.
• The CIMT estimation and plaque detection have been evaluated in a very large data set.
• The robustness and generalization have been proven with two different data sets.
摘要
•A novel single-step approach for automatic carotid artery image interpretation.•The method is also accurate and objective for CIMT estimation and plaque detection.•The proposed method is easily extensible to different CA territories.•The CIMT estimation and plaque detection have been evaluated in a very large data set.•The robustness and generalization have been proven with two different data sets.
论文关键词：Semantic segmentation of carotid artery,Intima media thickness,Ultrasound images,Atherosclerotic plaque detection,Fully convolutional neural networks
论文评审过程：Received 18 December 2018, Revised 25 November 2019, Accepted 28 December 2019, Available online 31 December 2019, Version of Record 20 January 2020.
论文官网地址：https://doi.org/10.1016/j.artmed.2019.101784
