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Deep Learning Algorithm for Automated Segmentation and Volume Measurement of the Liver and Spleen Using Portal Venous Phase Computed Tomography Images.
Ahn, Yura; Yoon, Jee Seok; Lee, Seung Soo; Suk, Heung Il; Son, Jung Hee; Sung, Yu Sub; Lee, Yedaun; Kang, Bo Kyeong; Kim, Ho Sung.
Afiliação
  • Ahn Y; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Yoon JS; Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea.
  • Lee SS; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. seungsoolee@amc.seoul.kr.
  • Suk HI; Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea.
  • Son JH; Department of Artificial Intelligence, Korea University, Seoul, Korea. hisuk@korea.ac.kr.
  • Sung YS; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Lee Y; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Kang BK; Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea.
  • Kim HS; Department of Radiology, Hanyang University Medical Center, Hanyang University School of Medicine, Seoul, Korea.
Korean J Radiol ; 21(8): 987-997, 2020 08.
Article em En | MEDLINE | ID: mdl-32677383
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Veia Porta / Baço / Tomografia Computadorizada por Raios X / Aprendizado Profundo / Fígado Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Korean J Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de publicação:
Texto completo
Adicionar na Minha BVS
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XML
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Veia Porta / Baço / Tomografia Computadorizada por Raios X / Aprendizado Profundo / Fígado Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Korean J Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de publicação: