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J-GLOBAL ID：202002257735253743   Reference number：20A1957174

Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images

多重時間点磁気共鳴画像からの生成敵対学習による神経膠腫成長予測【JST・京大機械翻訳】

Author (7)： Elazab Ahmed (Shenzhen University,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center,Shenzhen,China,518060) ,  Wang Changmiao (The Chinese University of Hong Kong,School of Science and Engineering,China) ,  Safdar Gardezi Syed Jamal (Shenzhen University,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center,Shenzhen,China,518060) ,  Bai Hongmin (Guangzhou General Hospital of Guangzhou Military Command,Department of Neurosurgery,Guangzhou,China) ,  Wang Tianfu (Shenzhen University,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center,Shenzhen,China,518060) ,  Lei Baiying (Shenzhen University,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center,Shenzhen,China,518060) ,  Chang Chunqi (Shenzhen University,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center,Shenzhen,China,518060)
Material： IEEE Conference Proceedings  (IEEE Conf Proc)
Volume： 2020  Issue： EMBC  Page： 1750-1753  Publication year： 2020 
JST Material Number： W2441A  Document type： Proceedings
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： Gliomas are the most dominant ...

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Thesaurus term： partial differential equation ,  *learning ,  advertising ,  network ,  tumor ,  *multiplex ,  dominance ,  *glioma ,  image synthesis ,  three dimension ,  *NMR imaging ,  formulation ,  single mode ,  computer architecture ,  therapeutic planning

JST classification (1)： Graphic and image processing in general  (JE04010I)

Terms in the title (7)： 多重 ,  磁気共鳴画像 ,  敵対 ,  学習 ,  神経膠腫 ,  成長 ,  予測