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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Xehetasun bibliografikoak
Egile Nagusiak: Yanhan Li, Lian Zou, Li Xiong, Fen Yu, Hao Jiang, Cien Fan, Mofan Cheng, Qi Li
Formatua: Artikulua
Hizkuntza:English
Argitaratua: MDPI AG 2022-01-01
Saila:Sensors
Gaiak:
ultrasound
segmentation
deep convolutional neural networks
carotid plaques
encoder–decoder
Sarrera elektronikoa:https://www.mdpi.com/1424-8220/22/3/887

Internet

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

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