Deep Learning of Time-Signal Intensity Curves from Dynamic Susceptibility Contrast Imaging Enables Tissue Labeling and Prediction of Survival in Glioblastoma.

Abstract

Authors

• J Yun
  From the Departments of Convergence Medicine (J.Y., N.K.).
• S Yun
  Department of Radiology (S.Y.), Busan Paik Hospital, Inje University College of Medicine, Busan, Korea.
• J E Park
  Department of Radiology and Research Institute of Radiology (J.E.P., H.S.K.), Asan Medical Center, University of Ulsan College of Medicine.
• E-N Cheong
  Medical Science and Asan Medical Institute of Convergence Science and Technology (E.-N.C.), University of Ulsan College of Medicine, Seoul, Korea.
• S Y Park
  Colorectal Cancer Center, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University , 807 Hogukro, Buk-gu, Daegu, 41404, South Korea.
• N Kim
  From the Departments of Convergence Medicine (J.Y., N.K.).
• H S Kim
  Department of Pharmacology, Pharmacogenomic Research Center for Membrane Transporters, Brain Korea 21 PLUS Project for Medical Sciences; Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul.

Keywords

External Resources