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Assessment of deep learning-based reconstruction on T2-weighted and diffusion-weighted prostate MRI image quality.
Lee, Kang-Lung; Kessler, Dimitri A; Dezonie, Simon; Chishaya, Wellington; Shepherd, Christopher; Carmo, Bruno; Graves, Martin J; Barrett, Tristan.
Afiliação
  • Lee KL; Department of Radiology, University of Cambridge, United Kingdom; Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Kessler DA; Department of Radiology, University of Cambridge, United Kingdom.
  • Dezonie S; GE HealthCare, Amersham, United Kingdom.
  • Chishaya W; Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital, Cambridge, United Kingdom.
  • Shepherd C; Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital, Cambridge, United Kingdom.
  • Carmo B; Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital, Cambridge, United Kingdom.
  • Graves MJ; Department of Radiology, University of Cambridge, United Kingdom; Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital, Cambridge, United Kingdom.
  • Barrett T; Department of Radiology, University of Cambridge, United Kingdom. Electronic address: tb507@medschl.cam.ac.uk.
Eur J Radiol ; 166: 111017, 2023 Sep.
Article em En | MEDLINE | ID: mdl-37541181
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Aprendizado Profundo Tipo de estudo: Qualitative_research Limite: Humans / Male Idioma: En Revista: Eur J Radiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan País de publicação: Irlanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Aprendizado Profundo Tipo de estudo: Qualitative_research Limite: Humans / Male Idioma: En Revista: Eur J Radiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan País de publicação: Irlanda