Supervised learning with cyclegan for low-dose FDG PET image denoising.

Zhou, Long; Schaefferkoetter, Joshua D; Tham, Ivan W K; Huang, Gang; Yan, Jianhua

Zhou, Long; Schaefferkoetter, Joshua D; Tham, Ivan W K; Huang, Gang; Yan, Jianhua.

Afiliación

Zhou L; Shanghai Key Laboratory for Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China; ZheJiang Minfound Intelligent Healthcare Technology Co., Ltd., West Wenyi road, Hangzhou, China.
Schaefferkoetter JD; Joint Department of Medical Imaging, University Health Network, Toronto, Canada; Siemens Healthcare Limited, Oakville, Ontario, Canada.
Tham IWK; A*STAR-NUS, Clinical Imaging Research Center, Singapore; Department of Radiation Oncology, National University Hospital, Singapore.
Huang G; Shanghai Key Laboratory for Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China. Electronic address: huanggang@sumhs.edu.cn.
Yan J; Shanghai Key Laboratory for Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China. Electronic address: Jianhua.yan@gmail.com.

Med Image Anal ; 65: 101770, 2020 10.

Article en En | MEDLINE | ID: mdl-32674043

Asunto(s)

Fluorodesoxiglucosa F18; Tomografía de Emisión de Positrones; Humanos; Procesamiento de Imagen Asistido por Computador; Relación Señal-Ruido; Aprendizaje Automático Supervisado

Palabras clave

Cycle consistent; Generative adversarial networks; Low-dose; PET

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fluorodesoxiglucosa F18 / Tomografía de Emisión de Positrones Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

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