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J-GLOBAL ID：202002236016376986   Reference number：20A0590377

Prediction of reader estimates of mammographic density using convolutional neural networks

畳込みニューラルネットワークを用いた乳房撮影密度のリーダー推定の予測【JST・京大機械翻訳】

Author (16)： Ionescu Georgia V. (University of Manchester, School of Computer Science, Manchester, United Kingdom) ,  Fergie Martin (University of Manchester, Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester, United Kingdom) ,  Berks Michael (University of Manchester, Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester, United Kingdom) ,  Berks Michael (University of Manchester, School of Biological Sciences, Division of Neuroscience and Experimental Psychology, Manchester, United Kingdom) ,  Harkness Elaine F. (University of Manchester, Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester, United Kingdom) ,  Harkness Elaine F. (University of Manchester, Manchester NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom) ,  Harkness Elaine F. (Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Prevent Breast Cancer and Nightingale Breast Screening Centre, Wythenshawe, Manchester, United Kingdom) ,  Hulleman Johan (University of Manchester, School of Biological Sciences, Division of Neuroscience and Experimental Psychology, Manchester, United Kingdom) ,  Brentnall Adam R. (Queen Mary University of London, Wolfson Institute of Preventive Medicine, Centre for Cancer Prevention, London, United Kingdom) ,  Cuzick Jack (Queen Mary University of London, Wolfson Institute of Preventive Medicine, Centre for Cancer Prevention, London, United Kingdom) ,  Evans D. Gareth (Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Prevent Breast Cancer and Nightingale Breast Screening Centre, Wythenshawe, Manchester, United Kingdom) ,  Evans D. Gareth (The Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Withington, Manchester, United Kingdom) ,  Evans D. Gareth (University of Manchester and Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Genomic Medicine, Division of Evolution and Genomic Science, Manchester, Manchester, United Kingdom) ,  Astley Susan M. (University of Manchester, Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester, United Kingdom) ,  Astley Susan M. (University of Manchester, Manchester NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom) ,  Astley Susan M. (Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Prevent Breast Cancer and Nightingale Breast Screening Centre, Wythenshawe, Manchester, United Kingdom)
Material： Journal of Medical Imaging
Volume： 6  Issue： 3  Page： 031405  Publication year： 2019 
JST Material Number： W5082A  ISSN： 2329-4302  Document type： Article
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： Abstract.: Mammographic densit...

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Thesaurus term： woman ,  visual sense ,  automation ,  image characteristic ,  *mammography ,  measure ,  breast tumor ,  screen ,  algorithm ,  risk factor ,  *network
Semi thesaurus term： 尤度比 ,  閉経期 ,  危険予測 ,  *畳込みニューラルネットワーク , 【Automatic Indexing@JST】

Author keywords (5)： breast cancer ,  mammographic density ,  deep learning ,  risk ,  visual analogue scales

JST classification (2)： Medical image processing  (JE04020T) ,  Diagnosis of tumors(=neoplasms)  (GE03020J)

Terms in the title (6)： 畳込みニューラルネットワーク ,  乳房撮影 ,  密度 ,  リーダー ,  推定 ,  予測