Restoration of amyloid PET images obtained with short-time data using a generative adversarial networks framework.

Jeong, Young Jin; Park, Hyoung Suk; Jeong, Ji Eun; Yoon, Hyun Jin; Jeon, Kiwan; Cho, Kook; Kang, Do-Young

Jeong, Young Jin; Park, Hyoung Suk; Jeong, Ji Eun; Yoon, Hyun Jin; Jeon, Kiwan; Cho, Kook; Kang, Do-Young.

Afiliación

Jeong YJ; Department of Nuclear Medicine, Dong-A University Hospital, Dong-A University College of Medicine, 1, 3ga, Dongdaesin-dong, Seo-gu, Busan, 602-715, South Korea.
Park HS; Institute of Convergence Bio-Health, Dong-A University, Busan, Republic of Korea.
Jeong JE; National Institute for Mathematical Science, Daejeon, Republic of Korea.
Yoon HJ; Department of Nuclear Medicine, Dong-A University Hospital, Dong-A University College of Medicine, 1, 3ga, Dongdaesin-dong, Seo-gu, Busan, 602-715, South Korea.
Jeon K; Department of Nuclear Medicine, Dong-A University Hospital, Dong-A University College of Medicine, 1, 3ga, Dongdaesin-dong, Seo-gu, Busan, 602-715, South Korea.
Cho K; National Institute for Mathematical Science, Daejeon, Republic of Korea.
Kang DY; College of General Education, Dong-A University, Busan, Republic of Korea.

Sci Rep ; 11(1): 4825, 2021 03 01.

Article en En | MEDLINE | ID: mdl-33649403

Asunto(s)

Amiloidosis/diagnóstico por imagen; Aprendizaje Profundo; Tomografía de Emisión de Positrones; Anciano; Anciano de 80 o más Años; Femenino; Humanos; Masculino; Persona de Mediana Edad

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tomografía de Emisión de Positrones / Aprendizaje Profundo / Amiloidosis Tipo de estudio: Guideline / Qualitative_research Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Corea del Sur

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