FRDD-Net: Automated Carotid Plaque Ultrasound Images Segmentation Using Feature Remapping and Dense Decoding

FRDD-Net: Automated Carotid Plaque Ultrasound Images Segmentation Using Feature Remapping and Dense Decoding

Automated segmentation and evaluation of carotid plaques ultrasound images is of great significance for the diagnosis and early intervention of high-risk groups of cardiovascular and cerebrovascular diseases. However, it remains challenging to develop such solutions due to the relatively low quality...

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Bibliographic Details
Main Authors: Yanhan Li, Lian Zou, Li Xiong, Fen Yu, Hao Jiang, Cien Fan, Mofan Cheng, Qi Li
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
ultrasound
segmentation
deep convolutional neural networks
carotid plaques
encoder–decoder
Online Access:https://www.mdpi.com/1424-8220/22/3/887

Internet

https://www.mdpi.com/1424-8220/22/3/887

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