Pneumonia image classification based on convolutional neural network
文献类型：会议论文
| 作者 | Xiong, Feng2; He, Di2; Liu, Yujie2; Qi, Meijie2; Zhang, Zhoufeng1 ; Liu, Lixin1,2
|
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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