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J-GLOBAL ID：202202258075108735   Reference number：22A0853597

Classification network of Chest X-ray images based on residual network in the context of COVID-19

COVID-19の状況における残存ネットワークに基づく胸部X線画像の分類ネットワーク【JST・京大機械翻訳】

Author (3)： Yang Xinwei (Chengdu University of Technology,School of Mechanical and Electrical Engineering,Chengdu,China) ,  Li Peiyu (Chengdu University of Technology,College of Information Science and Technology (College of Cyber Securny Oxford Brookes College),Chengdu,China) ,  Zhang Yuxin (Chengdu University of Technology,College of Information Science and Technology (College of Cyber Securny Oxford Brookes College),Chengdu,China)
Material： IEEE Conference Proceedings  (IEEE Conf Proc)
Volume： 2022  Issue： ICPECA  Page： 357-359  Publication year： 2022 
JST Material Number： W2441A  Document type： Proceedings
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： As COVID-19 spreads across the...

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Thesaurus term： *network ,  earth(the globe) ,  feature extraction ,  medical worker ,  high sensitivity ,  viral pneumonia ,  chest radiogram ,  planet
Semi thesaurus term： 細菌性肺炎 ,  *胸部X線画像 , 【Automatic Indexing@JST】

JST classification (2)： Graphic and image processing in general  (JE04010I) ,  Pattern recognition  (JE07000S)

Terms in the title (5)： COVID-19 ,  状況 ,  残存 ,  胸部X線画像 ,  分類