State of the art and future perspectives of the applications of deep learning in the medical image analysis

Lihui WANG; Yongbin QIN

doi:10.11959/j.issn.2096-0271.2020056

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State of the art and future perspectives of the applications of deep learning in the medical image analysis

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- State of the art and future perspectives of the applications of deep learning in the medical image analysis
- Big Data Research Vol. 6, Issue 6, Pages: 2020056-1(2020)
- 作者机构：
  
  1. 贵州省智能医学影像分析与精准诊断重点实验室，贵州贵阳 550025
  2. 贵州大学计算机科学与技术学院，贵州贵阳 550025
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2020056
  CLC： TP183
- Online First：2020-11，
  
  Published：15 November 2020
- 稿件说明：
移动端阅览
Lihui WANG, Yongbin QIN. State of the art and future perspectives of the applications of deep learning in the medical image analysis[J]. Big Data Research, 2020, 6(6): 2020056-1.
DOI：

Lihui WANG, Yongbin QIN. State of the art and future perspectives of the applications of deep learning in the medical image analysis[J]. Big Data Research, 2020, 6(6): 2020056-1. DOI： 10.11959/j.issn.2096-0271.2020056.

摘要

医学影像是临床诊断的重要辅助工具，医学影像数据占临床数据的90%，因此，充分挖掘医学影像信息将对临床智能诊断、智能决策以及预后起到重要的作用。随着深度学习的出现，利用深度神经网络分析医学影像已成为目前研究的主流。根据医学影像分析的流程，从医学影像数据的产生、医学影像的预处理，到医学影像的分类预测，充分阐述了深度学习在每一环节的应用研究现状，并根据其面临的问题，对未来的发展趋势进行了展望。

Abstract

Medical imaging is an important auxiliary tool for clinical diagnosis.Medical images occupy almost 90% of clinical data.Therefore

mining medical image information will be beneficial for intelligent diagnosis

decision-making and prognosis prediction.With the emergence of deep learning

using deep neural networks to analyze medical images has become a hot research topic.Following the process of medical image analysis

from the image acquisition

the image pre-processing to the classification and prediction

the state-of-the-art applications of deep learning in each step of medical image analysis was elaborated

and according to the existed issues and the challenges

the future perspectives were finally discussed.

关键词

Keywords

references

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