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Improved image quality of low-dose CT combining with iterative model reconstruction algorithm for response assessment in patients after treatment of malignant tumor.
Xin, Xiaoyan; Shen, Jingtao; Yang, Shangwen; Liu, Song; Hu, Anning; Zhu, Bin; Jiang, Yan; Li, Baoxin; Zhang, Bing.
Afiliação
  • Xin X; Department of Radiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.
  • Shen J; Department of Nuclear Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.
  • Yang S; Department of Radiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.
  • Liu S; Department of Radiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.
  • Hu A; Department of Radiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.
  • Zhu B; Department of Radiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.
  • Jiang Y; Clinical Science, Philips Healthcare, Shanghai 200233, China.
  • Li B; Department of Radiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.
  • Zhang B; Department of Radiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.
Quant Imaging Med Surg ; 8(7): 648-657, 2018 Aug.
Article em En | MEDLINE | ID: mdl-30211032
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Quant Imaging Med Surg Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China País de publicação: China
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Quant Imaging Med Surg Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China País de publicação: China