HViT: Hybrid vision inspired transformer for the assessment of carotid artery plaque by addressing the cross-modality domain adaptation problem in MRI.

Ayoub, Muhammad; Liao, Zhifang; Li, Lifeng; Wong, Kelvin K L

Ayoub, Muhammad; Liao, Zhifang; Li, Lifeng; Wong, Kelvin K L.

Afiliação

Ayoub M; School of Computer Science and Engineering, Central South University, Changsha 410017, Hunan, China.
Liao Z; School of Computer Science and Engineering, Central South University, Changsha 410017, Hunan, China. Electronic address: zfliao@csu.edu.cn.
Li L; Department of Radiology, The Affiliated Changsha Central Hospital, Hengyang Medical school, University of South China, Changsha 410017, China.
Wong KKL; Department of Mechanical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada. Electronic address: kelvin.wong@usask.ca.

Comput Med Imaging Graph ; 109: 102295, 2023 10.

Article em En | MEDLINE | ID: mdl-37717365

Assuntos

Estenose das Carótidas; Humanos; Estenose das Carótidas/diagnóstico por imagem; Imageamento por Ressonância Magnética; Calibragem; Processamento de Imagem Assistida por Computador

Palavras-chave

Carotid artery Plaque; Cross-modality domain adaptation; Deep Learning; Self-attention mechanism; Vision transformers

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estenose das Carótidas Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Comput Med Imaging Graph Ano de publicação: 2023 Tipo de documento: Article

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