Application of artificial intelligence in renal tumor imaging

LI Jianwen; LU Guangming

doi:10.19732/j.cnki.1008-617X.2018.04.003

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Application of artificial intelligence in renal tumor imaging

更新时间：2025-12-15

- Application of artificial intelligence in renal tumor imaging
- Vol. 27, Issue 4, Pages: 256-260(2018)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.1008-617X.2018.04.003
  CLC：
- Published Online：17 September 2018，
  
  Published：17 September 2018
- 稿件说明：
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李健文,卢光明. 人工智能在肾肿瘤影像中的应用[J]. 肿瘤影像学, 2018, 27(4): 256-260 https://doi.

org/10.19732/j.cnki.1008-617X.2018.04.003
李健文,卢光明. 人工智能在肾肿瘤影像中的应用[J]. 肿瘤影像学, 2018, 27(4): 256-260 https://doi. DOI： 10.19732/j.cnki.1008-617X.2018.04.003.

org/10.19732/j.cnki.1008-617X.2018.04.003 DOI：

摘要

以深度学习等为代表的新一代人工智能（artificial intelligence，AI）技术在医学影像中的应用是当前社会医疗发展的重要需求方向，肾肿瘤的AI医学影像临床研究也引起了相当大的关注。本文旨在阐述AI在肾肿瘤影像中应用的现状、问题，并对未来进行初步展望。

Abstract

The application of the new generation of artificial intelligence (AI)

which is represented by deep learning

is an important direction of the current medical development. The application of AI in renal tumor imaging is attracting great interest in the clinical imaging research. The purpose of this review is to introduce the status quo

existing problems

and the future of the application of AI in renal tumor imaging.

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Related Institution

Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University

Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University

Department of Electronics and Information, Xi&rsquo

CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences

Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University

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