Your browser doesn't support javascript.
loading
The use of deep learning towards dose optimization in low-dose computed tomography: A scoping review.
Immonen, E; Wong, J; Nieminen, M; Kekkonen, L; Roine, S; Törnroos, S; Lanca, L; Guan, F; Metsälä, E.
Afiliación
  • Immonen E; Metropolia University of Applied Sciences, Finland. Electronic address: elisa.immonen@metropolia.fi.
  • Wong J; Singapore Institute of Technology (SIT), Singapore. Electronic address: 1801515@sit.singaporetech.edu.sg.
  • Nieminen M; Metropolia University of Applied Sciences, Finland. Electronic address: mika.nieminen@metropolia.fi.
  • Kekkonen L; Metropolia University of Applied Sciences, Finland. Electronic address: leena.kekkonen@metropolia.fi.
  • Roine S; Metropolia University of Applied Sciences, Finland. Electronic address: sara.roine@metropolia.fi.
  • Törnroos S; Metropolia University of Applied Sciences, Finland. Electronic address: sanna.tornroos@metropolia.fi.
  • Lanca L; Singapore Institute of Technology (SIT), Singapore. Electronic address: luis.lanca@singaporetech.edu.sg.
  • Guan F; Singapore Institute of Technology (SIT), Singapore. Electronic address: frank.guan@singaporetech.edu.sg.
  • Metsälä E; Metropolia University of Applied Sciences, Finland. Electronic address: eija.metsala@metropolia.fi.
Radiography (Lond) ; 28(1): 208-214, 2022 Feb.
Article en En | MEDLINE | ID: mdl-34325998
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Guideline / Systematic_reviews Límite: Humans Idioma: En Revista: Radiography (Lond) Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Guideline / Systematic_reviews Límite: Humans Idioma: En Revista: Radiography (Lond) Año: 2022 Tipo del documento: Article