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Deep Learning-Based Assessment of Functional Liver Capacity Using Gadoxetic Acid-Enhanced Hepatobiliary Phase MRI.
Park, Hyo Jung; Yoon, Jee Seok; Lee, Seung Soo; Suk, Heung-Il; Park, Bumwoo; Sung, Yu Sub; Hong, Seung Baek; Ryu, Hwaseong.
Affiliation
  • Park HJ; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Yoon JS; Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea.
  • Lee SS; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea. seungsoolee@amc.seoul.kr.
  • Suk HI; Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea.
  • Park B; Department of Artificial Intelligence, Korea University, Seoul, Korea. hisuk@korea.ac.kr.
  • Sung YS; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Hong SB; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Ryu H; Department of Radiology, Pusan National University Hospital, Busan, Korea.
Korean J Radiol ; 23(7): 720-731, 2022 07.
Article in En | MEDLINE | ID: mdl-35434977

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Liver Neoplasms Type of study: Observational_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Korean J Radiol Journal subject: RADIOLOGIA Year: 2022 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Liver Neoplasms Type of study: Observational_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Korean J Radiol Journal subject: RADIOLOGIA Year: 2022 Document type: Article Country of publication: