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J-GLOBAL ID:202002228130116862   Reference number:20A0760079

Imbalanced Subarachnoid Hemorrhage data automatic detection by using SMOTE algorithm based on deep learning

深層学習によるSMOTEを用いた不均衡クモ膜下出血データの自動検出に関する研究
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Volume: 119  Issue: 399(MI2019 65-123)(Web)  Page: 47-52 (WEB ONLY)  Publication year: Jan. 22, 2020 
JST Material Number: S0532B  ISSN: 0913-5685  Document type: Proceedings
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
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Neurologic diagnosis 
Reference (9):
  • M.K. Abraham, W.W. Chang, ′′Subarachnoid Hemorrhage,′′ Emergency Medicine Clinics, vol.34, no.4, pp.901-916, 2016.
  • Japan Preventive Association of Life-style related Disease, http://www.seikatsusyukanbyo.com/statistics/2016/009215.php, Retrieved: October 2016.
  • A. Krizhevsky, I. Sutskever, G.E. Hinton, ′′Imagenet classification with deep convolutional neural networks,′′ Advances in Neural Information Processing Systems, pp.1097-1105, 2012.
  • N.V. Chawla, K.W. Bowyer, L.O. Hall, ′′SMOTE: synthetic minority over-sampling technique,′′ Journal of Artificial Intelligence Research, vol.16, pp.321-357, 2002.
  • L. Breiman, ′′Classification and regression trees,′′ Routledge, 2017.
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