Pulmonary tuberculosis detection model of chest X-ray images using convolutional neural network

doi:10.19682/j.cnki.1005-8885.2018.1022

中国邮电高校学报(英文) ›› 2018, Vol. 25 ›› Issue (6): 1-6.doi: 10.19682/j.cnki.1005-8885.2018.1022

• Artificial Intelligence • 下一篇

Pulmonary tuberculosis detection model of chest X-ray images using convolutional neural network

He Jin, Wang Cong, Chen Zhao

1. School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
2. Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing 100876, China
3. China Electronic Data Service CO. , LTD, Beijing 100872, China

收稿日期:2018-08-07 修回日期:2018-12-31 出版日期:2018-12-30 发布日期:2019-02-26
通讯作者: He Jin, E-mail: hj198809@126.com E-mail:hj198809@126.com
作者简介:He Jin, E-mail: hj198809@126.com
基金资助:
This workwas supported by the National Key Research and Development Program of China (2017YFC1307705).

Pulmonary tuberculosis detection model of chest X-ray images using convolutional neural network

He Jin, Wang Cong, Chen Zhao

1. School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
2. Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing 100876, China
3. China Electronic Data Service CO. , LTD, Beijing 100872, China

Received:2018-08-07 Revised:2018-12-31 Online:2018-12-30 Published:2019-02-26
Contact: He Jin, E-mail: hj198809@126.com E-mail:hj198809@126.com
About author:He Jin, E-mail: hj198809@126.com
Supported by:
This workwas supported by the National Key Research and Development Program of China (2017YFC1307705).

摘要/Abstract

摘要： The primary screening for pulmonary tuberculosis mainly relies on X-ray imaging all over the world. In recent years, the incidence of pulmonary tuberculosis has rebounded. This paper proposes a convolutional neural networks (CNN) based model on the tuberculosis detection of chest X-ray images, which is used for the automatic screening of pulmonary tuberculosis. Compared with the conventional CNN, this model can be used to detect the details of images and the areas of the disease quickly and accurately. There is an improvement in the learning speed and accuracy rate of our method, so it can better complete the work of anomaly detection and it can provide more effective auxiliary decision information for the practitioners.

关键词: X-ray images, pulmonary tuberculosis, CNN, automatic screening

Abstract: The primary screening for pulmonary tuberculosis mainly relies on X-ray imaging all over the world. In recent years, the incidence of pulmonary tuberculosis has rebounded. This paper proposes a convolutional neural networks (CNN) based model on the tuberculosis detection of chest X-ray images, which is used for the automatic screening of pulmonary tuberculosis. Compared with the conventional CNN, this model can be used to detect the details of images and the areas of the disease quickly and accurately. There is an improvement in the learning speed and accuracy rate of our method, so it can better complete the work of anomaly detection and it can provide more effective auxiliary decision information for the practitioners.

Key words: X-ray images, pulmonary tuberculosis, CNN, automatic screening

中图分类号:

TP183

He Jin, Wang Cong, Chen Zhao. Pulmonary tuberculosis detection model of chest X-ray images using convolutional neural network[J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2018, 25(6): 1-6.

参考文献

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Pulmonary tuberculosis detection model of chest X-ray images using convolutional neural network

Pulmonary tuberculosis detection model of chest X-ray images using convolutional neural network

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