Deep Vision: Learning to Identify Renal Disease With Neural Networks

被引:4
|
作者
Pavinkurve, Nishanth P. [1 ]
Natarajan, Karthik [1 ]
Perotte, Adler J. [1 ]
机构
[1] Columbia Univ, Dept Biomed Informat, New York, NY 10032 USA
来源
KIDNEY INTERNATIONAL REPORTS | 2019年 / 4卷 / 07期
关键词
D O I
10.1016/j.ekir.2019.04.023
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
引用
收藏
页码:914 / 916
页数:3
相关论文
共 50 条
  • [31] Development and Validation of a Deep Learning Model Using Convolutional Neural Networks to Identify Scaphoid Fractures in Radiographs
    Yoon, Alfred P.
    Lee, Yi-Lun
    Kane, Robert L.
    Kuo, Chang-Fu
    Lin, Chihung
    Chung, Kevin C.
    JAMA NETWORK OPEN, 2021, 4 (05)
  • [32] Incremental learning with neural networks for computer vision: a survey
    Hao Liu
    Yong Zhou
    Bing Liu
    Jiaqi Zhao
    Rui Yao
    Zhiwen Shao
    Artificial Intelligence Review, 2023, 56 : 4557 - 4589
  • [33] Incremental learning with neural networks for computer vision: a survey
    Liu, Hao
    Zhou, Yong
    Liu, Bing
    Zhao, Jiaqi
    Yao, Rui
    Shao, Zhiwen
    ARTIFICIAL INTELLIGENCE REVIEW, 2023, 56 (05) : 4557 - 4589
  • [34] Geophysics and neural networks: learning from computer vision
    Grujic M.
    Webb L.
    Carmichael T.
    Explor. Geophys., 2019, 1
  • [35] Performance Analysis of Deep Neural Networks Using Computer Vision
    Sindhwani N.
    Anand R.
    Meivel S.
    Shukla R.
    Yadav M.P.
    Yadav V.
    EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2021, 8 (29)
  • [36] Deep Embedded Vision Using Sparse Convolutional Neural Networks
    Pikoulis, Vassilis
    Mavrokefalidis, Christos
    Keramidas, Georgios
    Birbas, Michael
    Tsafas, Nikos
    Lalos, Aris S.
    ERCIM NEWS, 2020, (122): : 39 - 40
  • [37] Deep neural networks: a new framework for understanding biological vision?
    Leek, Charles
    PERCEPTION, 2021, 50 (06) : 573 - 573
  • [38] Deep learning with coherent VCSEL neural networks
    Zaijun Chen
    Alexander Sludds
    Ronald Davis
    Ian Christen
    Liane Bernstein
    Lamia Ateshian
    Tobias Heuser
    Niels Heermeier
    James A. Lott
    Stephan Reitzenstein
    Ryan Hamerly
    Dirk Englund
    Nature Photonics, 2023, 17 : 723 - 730
  • [39] Learning deep neural networks for node classification
    Li, Bentian
    Pi, Dechang
    EXPERT SYSTEMS WITH APPLICATIONS, 2019, 137 : 324 - 334
  • [40] Inspecting the behaviour of Deep Learning Neural Networks
    Duer, Alexander
    Filzmoser, Peter
    Rauber, Andreas
    ERCIM NEWS, 2019, (116): : 18 - 19