Towards improving diagnosis of skin diseases by combining deep neural network and human knowledge.

Journal: BMC medical informatics and decision making
Published Date: Jul 23, 2018

Abstract

BACKGROUND: The emergence of the deep convolutional neural network (CNN) greatly improves the quality of computer-aided supporting systems. However, due to the challenges of generating reliable and timely results, clinical adoption of computer-aided diagnosis systems is still limited. Recent informatics research indicates that machine learning algorithms need to be combined with sufficient clinical expertise in order to achieve an optimal result.

Authors

  • Xinyuan Zhang
    Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China.
  • Shiqi Wang
    Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Jie Liu
    School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China.
  • Cui Tao
    The University of Texas Health Science Center at Houston, USA.

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