Pneumonia image classification based on convolutional neural network

doi:10.1117/12.2606413

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Pneumonia image classification based on convolutional neural network
	Xiong, Feng 2; He, Di 2; Liu, Yujie 2; Qi, Meijie 2; Zhang, Zhoufeng 1; Liu, Lixin 1,2
	2021
会议日期	2021-07-23
会议地点	Xi'an, China
关键词	image classification convolution neural network (CNN) deep learning (DL) pneumonia image chest X-ray
卷号	12057
DOI	10.1117/12.2606413
英文摘要	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.
产权排序	2
会议录	Twelfth International Conference on Information Optics and Photonics, CIOP 2021
会议录出版者	SPIE
语种	英语
ISSN号	0277786X;1996756X
ISBN号	9781510649897
内容类型	会议论文
源URL	[http://ir.opt.ac.cn/handle/181661/95613]
专题	西安光学精密机械研究所_光学影像学习与分析中心
通讯作者	Liu, Lixin
作者单位	1.CAS Key Laboratory of Spectral Imaging Technology, Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an Shaanxi; 710119, China 2.School of Physics and Optoelectronic Engineering, Xidian University, Xi'an Shaanxi; 710071, 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]. 见:. Xi'an, China. 2021-07-23.