Advances in computer-aided diagnosis formedical endoscope images

doi:10.3778/j.issn.1002-8331.1711-0212

Abstract

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

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

JING Xueping, ZHENG Xiujuan, LIU Kai. Advances in computer-aided diagnosis formedical endoscope images[J]. Computer Engineering and Applications, 2018, 54(3): 18-22.

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.

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Advances in computer-aided diagnosis formedical endoscope images

医用内窥镜图像计算机辅助诊断研究进展

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