Semantic segmentation method for myocardial contrast echocardiogram based on DeepLabV3+ deep learning architecture.

Cheng, Huan; Zhang, Jucheng; Gong, Yinglan; Pu, Zhaoxia; Jiang, Jun; Chu, Yonghua; Xia, Ling

Cheng, Huan; Zhang, Jucheng; Gong, Yinglan; Pu, Zhaoxia; Jiang, Jun; Chu, Yonghua; Xia, Ling.

Afiliación

Cheng H; Key Laboratory for Biomedical Engineering of Ministry of Education, Institute of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China.
Zhang J; Department of Clinical Engineering, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou 310009, China.
Gong Y; Institute of Wenzhou, Zhejiang University, Wenzhou 325036, China.
Pu Z; Department of Cardiology, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou 310009, China.
Jiang J; Department of Cardiology, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou 310009, China.
Chu Y; Department of Clinical Engineering, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou 310009, China.
Xia L; Key Laboratory for Biomedical Engineering of Ministry of Education, Institute of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China.

Math Biosci Eng ; 20(2): 2081-2093, 2023 01.

Article en En | MEDLINE | ID: mdl-36899523

Asunto(s)

Aprendizaje Profundo; Humanos; Semántica; Procesamiento de Imagen Asistido por Computador/métodos; Ecocardiografía/métodos; Miocardio

Palabras clave

DeepLabV3+; deep learning; myocardial contrast echocardiogram; semantic segmentation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Límite: Humans Idioma: En Revista: Math Biosci Eng Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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