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CT iterative vs deep learning reconstruction: comparison of noise and sharpness.
Park, Chankue; Choo, Ki Seok; Jung, Yunsub; Jeong, Hee Seok; Hwang, Jae-Yeon; Yun, Mi Sook.
Affiliation
  • Park C; Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea.
  • Choo KS; Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea. kschoo0618@naver.com.
  • Jung Y; CT Research Team, GE Healthcare Korea, Seoul, Korea.
  • Jeong HS; Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea.
  • Hwang JY; Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea.
  • Yun MS; Division of Biostatistics, Pusan National University Yangsan Hospital, Yangsan, Korea.
Eur Radiol ; 31(5): 3156-3164, 2021 May.
Article in En | MEDLINE | ID: mdl-33057781
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Qualitative_research Limits: Aged / Humans / Male Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2021 Document type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Qualitative_research Limits: Aged / Humans / Male Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2021 Document type: Article