计算机工程与应用 ›› 2018, Vol. 54 ›› Issue (3): 18-22.DOI: 10.3778/j.issn.1002-8331.1711-0212

• 热点与综述 • 上一篇    下一篇

医用内窥镜图像计算机辅助诊断研究进展

敬雪平,郑秀娟,刘  凯   

  1. 四川大学 电气信息学院 自动化系,成都 610065
  • 出版日期:2018-02-01 发布日期:2018-02-07

Advances in computer-aided diagnosis formedical endoscope images

JING Xueping, ZHENG Xiujuan, LIU Kai   

  1. Department of Automation, College of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China
  • Online:2018-02-01 Published:2018-02-07

摘要: 内窥镜作为一种重要的医学诊断工具,广泛地应用于多种疾病的诊断和筛查。随着电子内窥镜的广泛应用,基于图像处理技术的计算机辅助诊断算法不断地涌现。就应用于医用内窥镜图像的计算机辅助诊断研究进展予以综述,分别总结了基于人选特征和基于卷积神经网络的内窥镜图像分析方法,最后分析了两类方法在处理内窥镜图像时的优势与缺点。

关键词: 内窥镜图像, 人选特征, 卷积神经网络, 计算机辅助诊断

Abstract: As an important medical diagnostic tool, endoscope is widely used in the diagnosis and screening of various diseases. With the wide application of electronic endoscope, computer-aided diagnosis algorithms based on image processing technology are constantly emerging. This paper presents a review over the application of computer aided diagnosis of medical endoscopic images by summarizing the endoscopic image analysis methods based on hand-crafted features and convolutional neural networks respectively. Finally the advantages and disadvantages of the two methods are analyzed.

Key words: endoscope image, hand-crafted feature, convolutional neural networks, computer-aided diagnosis