Domain-adaptive denoising network for low-dose CT via noise estimation and transfer learning.

Wang, Jiping; Tang, Yufei; Wu, Zhongyi; Tsui, Benjamin M W; Chen, Wei; Yang, Xiaodong; Zheng, Jian; Li, Ming

Wang, Jiping; Tang, Yufei; Wu, Zhongyi; Tsui, Benjamin M W; Chen, Wei; Yang, Xiaodong; Zheng, Jian; Li, Ming.

Afiliación

Wang J; Institute of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, China.
Tang Y; Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Wu Z; Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Tsui BMW; School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Chen W; Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Yang X; School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Zheng J; Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Li M; Minfound Medical Systems Co. Ltd., Shaoxing, Zhejiang, China.

Med Phys ; 50(1): 74-88, 2023 Jan.

Article en En | MEDLINE | ID: mdl-36018732

Asunto(s)

Algoritmos; Tomografía Computarizada por Rayos X; Humanos; Relación Señal-Ruido; Tomografía Computarizada por Rayos X/métodos; Simulación por Computador; Aprendizaje Automático; Procesamiento de Imagen Asistido por Computador/métodos

Palabras clave

LDCT; SPADE; deep learning; domain adaptation; transfer learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Tomografía Computarizada por Rayos X Límite: Humans Idioma: En Revista: Med Phys Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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