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The clinical feasibility of deep learning-based classification of amyloid PET images in visually equivocal cases.
Son, Hye Joo; Oh, Jungsu S; Oh, Minyoung; Kim, Soo Jong; Lee, Jae-Hong; Roh, Jee Hoon; Kim, Jae Seung.
Afiliação
  • Son HJ; Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
  • Oh JS; Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
  • Oh M; Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
  • Kim SJ; Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
  • Lee JH; Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
  • Roh JH; Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea. alzheimer@naver.com.
  • Kim JS; Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea. jaeskim@amc.seoul.kr.
Eur J Nucl Med Mol Imaging ; 47(2): 332-341, 2020 02.
Article em En | MEDLINE | ID: mdl-31811343
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article