Pneumonia image classification based on convolutional neural network

doi:10.1117/12.2606413

OPT OpenIR > 光谱成像技术研究室

	Pneumonia image classification based on convolutional neural network
	Xiong, Feng 1; He, Di 1; Liu, Yujie 1; Qi, Meijie 1; Zhang, Zhoufeng2 ; Liu, Lixin 1,2
	2021
会议名称	12th International Conference on Information Optics and Photonics, CIOP 2021
会议录名称	Twelfth International Conference on Information Optics and Photonics, CIOP 2021
卷号	12057
会议日期	2021-07-23
会议地点	Xi'an, China
出版者	SPIE
产权排序	2
摘要	Chest X-ray is the commonly used method to diagnose pneumonia. How to correctly interpret the image information is always the main challenge faced by doctors. Convolution Neural Network (CNN) is a popular deep learning algorithm with excellent image recognition performance, and has been used widely in automatic recognition and diagnosis of medical images. This paper studies the classification of normal and pneumonia with more than 5000 chest X-ray images by employing three CNN models of VGG16, VGG19 and Inception V3. The performances of each model for classification was evaluated and compared. © 2021 COPYRIGHT SPIE.
关键词	image classification convolution neural network (CNN) deep learning (DL) pneumonia image chest X-ray
作者部门	光谱成像技术研究室
DOI	10.1117/12.2606413
收录类别	EI ; CPCI
ISBN号	9781510649897
语种	英语
ISSN号	0277786X;1996756X
WOS记录号	WOS:000766388100117
EI入藏号	20215211375378
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	http://ir.opt.ac.cn/handle/181661/95613
专题	光谱成像技术研究室
通讯作者	Liu, Lixin
作者单位	1.School of Physics and Optoelectronic Engineering, Xidian University, Xi'an Shaanxi; 710071, China; 2.CAS Key Laboratory of Spectral Imaging Technology, Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an Shaanxi; 710119, China
推荐引用方式 GB/T 7714	Xiong, Feng,He, Di,Liu, Yujie,et al. Pneumonia image classification based on convolutional neural network[C]:SPIE,2021.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Pneumonia image clas（475KB）	会议论文		限制开放	CC BY-NC-SA	请求全文