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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 in En | MEDLINE | ID: mdl-31339015
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Image Processing, Computer-Assisted / Brain Ischemia / Diffusion Magnetic Resonance Imaging / Nerve Net Type of study: Observational_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Korean J Radiol Journal subject: RADIOLOGIA Year: 2019 Document type: Article Country of publication:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Image Processing, Computer-Assisted / Brain Ischemia / Diffusion Magnetic Resonance Imaging / Nerve Net Type of study: Observational_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Korean J Radiol Journal subject: RADIOLOGIA Year: 2019 Document type: Article Country of publication: