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Fully Automatic Segmentation of Acute Ischemic Lesions on Diffusion-Weighted Imaging Using Convolutional Neural Networks: Comparison with Conventional Algorithms.
Woo, Ilsang; Lee, Areum; Jung, Seung Chai; Lee, Hyunna; Kim, Namkug; Cho, Se Jin; Kim, Donghyun; Lee, Jungbin; Sunwoo, Leonard; Kang, Dong Wha.
Affiliation
  • Woo I; Department of Convergence Medicine, Biomedical Engineering Research Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Lee A; Department of Convergence Medicine, Biomedical Engineering Research Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Jung SC; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea. dynamics79@gmail.com.
  • Lee H; Department of Convergence Medicine, Biomedical Engineering Research Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Kim N; Department of Convergence Medicine, Biomedical Engineering Research Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Cho SJ; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Kim D; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Lee J; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Sunwoo L; Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Kang DW; Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Korean J Radiol ; 20(8): 1275-1284, 2019 08.
Article de En | MEDLINE | ID: mdl-31339015
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Algorithmes / Traitement d'image par ordinateur / Encéphalopathie ischémique / Imagerie par résonance magnétique de diffusion / Réseau nerveux Type d'étude: Observational_studies Limites: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Langue: En Journal: Korean J Radiol Sujet du journal: RADIOLOGIA Année: 2019 Type de document: Article
Texte intégral
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Algorithmes / Traitement d'image par ordinateur / Encéphalopathie ischémique / Imagerie par résonance magnétique de diffusion / Réseau nerveux Type d'étude: Observational_studies Limites: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Langue: En Journal: Korean J Radiol Sujet du journal: RADIOLOGIA Année: 2019 Type de document: Article