计算机工程与应用2018，Vol.54Issue(3)：18-22,114,6.DOI:10.3778/j.issn.1002-8331.1711-0212
医用内窥镜图像计算机辅助诊断研究进展
Advances in computer-aided diagnosis formedical endoscope images
摘要
Abstract
As an important medical diagnostic tool, endoscope is widely used in the diagnosis and screening of various dis-eases. 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.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Key words
endoscope image/hand-crafted feature/convolutional neural networks/computer-aided diagnosis分类
信息技术与安全科学引用本文复制引用
敬雪平,郑秀娟,刘凯..医用内窥镜图像计算机辅助诊断研究进展[J].计算机工程与应用,2018,54(3):18-22,114,6.基金项目
国家自然科学基金(No.81201146). （No.81201146）
