Carotid Vessel-Wall-Volume Ultrasound Measurement via a UNet++ Ensemble Algorithm Trained on Small Data Sets.

Zhou, Ran; Guo, Fumin; Azarpazhooh, M Reza; Spence, J David; Gan, Haitao; Ding, Mingyue; Fenster, Aaron

Zhou, Ran; Guo, Fumin; Azarpazhooh, M Reza; Spence, J David; Gan, Haitao; Ding, Mingyue; Fenster, Aaron.

Afiliação

Zhou R; School of Computer Science, Hubei University of Technology, Wuhan, Hubei, China.
Guo F; Wuhan National Laboratory for Optoelectronics, Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China. Electronic address: fguo@hust.edu.cn.
Azarpazhooh MR; Stroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Ontario, Canada.
Spence JD; Stroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Ontario, Canada; Imaging Research Laboratories, Robarts Research Institute, Western University, London, Ontario, Canada.
Gan H; School of Computer Science, Hubei University of Technology, Wuhan, Hubei, China.
Ding M; College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Fenster A; Imaging Research Laboratories, Robarts Research Institute, Western University, London, Ontario, Canada.

Ultrasound Med Biol ; 49(4): 1031-1036, 2023 04.

Article em En | MEDLINE | ID: mdl-36642588

Assuntos

Artérias Carótidas; Imageamento Tridimensional; Humanos; Reprodutibilidade dos Testes; Imageamento Tridimensional/métodos; Artérias Carótidas/diagnóstico por imagem; Ultrassonografia/métodos; Algoritmos

Palavras-chave

Carotid plaques; Carotid ultrasound; Deep learning; Segmentation

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Artérias Carótidas / Imageamento Tridimensional Tipo de estudo: Clinical_trials / Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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