Creation of synthetic contrast-enhanced computed tomography images using deep neural networks to screen for renal cell carcinoma.

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第一作者： Naoto,Sassa

第一单位： Department of Urology, Aichi Medical University School of Medicine, Nagakute, Japan.

作者： Naoto,Sassa ^[1] ; Yoshitaka,Kameya ^[2] ; Tomoichi,Takahashi ^[3] ; Yoshihisa,Matsukawa ^[4] ; Tsuyoshi,Majima ^[1] ; Katsuhisa,Tsuruta ^[1] ; Ikuo,Kobayashi ^[1] ; Keishi,Kajikawa ^[1] ; Hideji,Kawanishi ^[1] ; Haruka,Kurosu ^[1] ; Sho,Yamagiwa ^[1] ; Masaya,Takahashi ^[2] ; Kazuhiro,Hotta ^[2] ; Keiichi,Yamada ^[2] ; Tokunori,Yamamoto ^[5]

作者单位： Department of Urology, Aichi Medical University School of Medicine, Nagakute, Japan. ^[1] Department of Information Engineering, Graduate School of Science and Engineering, Meijo University, Nagoya, Japan. ^[2] Meis Technology Inc., Nagoya, Japan. ^[3] Department of Urology, Nagoya University Graduate School of Medicine, Nagoya, Japan. ^[4] Nagoya University-NEUROTECH collaborative Regenerative Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan. ^[5] Institute of Nano-Life-Systems, Institute of Innovation for Future Society, Nagoya University, Nagoya, Japan. ^[6]

关键词 artificial intelligence deep learning deep neural network kidney cancer renal cell carcinoma

主题词人类(Humans);癌, 肾细胞(Carcinoma, Renal Cell);人工智能(Artificial Intelligence);回顾性研究(Retrospective Studies);体层摄影术, X线计算机(Tomography, X-Ray Computed);肾肿瘤(Kidney Neoplasms)

DOI 10.18999/nagjms.85.4.713

PMID 38155627

发布时间 2024-01-01

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