Development of novel deep multimodal representation learning-based model for the differentiation of liver tumors on B-mode ultrasound images.

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作者： Masaya,Sato ^[1] ; Tamaki,Kobayashi ^[2] ; Yoko,Soroida ^[1] ; Takashi,Tanaka ^[1] ; Takuma,Nakatsuka ^[3] ; Hayato,Nakagawa ^[2] ; Ayaka,Nakamura ^[2] ; Makiko,Kurihara ^[1] ; Momoe,Endo ^[1] ; Hiromi,Hikita ^[1] ; Mamiko,Sato ^[1] ; Hiroaki,Gotoh ^[1] ; Tomomi,Iwai ^[1] ; Ryosuke,Tateishi ^[1] ; Kazuhiko,Koike ^[2] ; Yutaka,Yatomi ^[2]

作者单位： Department of Clinical Laboratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. ^[1] Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. ^[2] Groovenauts, Inc, Fukuoka, Japan. ^[3]

关键词 B-mode convolutional neural network deep multimodal representation learning liver tumor machine learning

主题词曲线下面积(Area Under Curve);人类(Humans);肝肿瘤(Liver Neoplasms);超声检查(Ultrasonography)

DOI 10.1111/jgh.15763

PMID 34911147

发布时间 2022-04-07

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准确一般字义偏差语意偏离译文作用小提交