Author:
Pasa F.,Golkov V.,Pfeiffer F.,Cremers D.,Pfeiffer D.
Publisher
Springer Science and Business Media LLC
Reference34 articles.
1. Anderson, L. et al. WHO Global tuberculosis report 2015. WHO Libr. Cat. Data 1, 1689–1699 (2015).
2. Van’t Hoog, A. H. et al. High sensitivity of chest radiograph reading by clinical officers. Int. J. Tuberc. Lung Dis. 15, 1308–1314 (2011).
3. Melendez, J. et al. An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information. Sci. Rep. 6, 1–8 (2016).
4. Jaeger, S. et al. Automatic tuberculosis screening using chest radiographs. IEEE Trans. Med. Imaging 33, 233–245 (2014).
5. Hwang, S., Kim, H., Jeong, J. & Kim, H. A Novel Approach for Tuberculosis Screening Based on Deep Convolutional Neural Networks. Proc. SPIE 9785, 1–8 (2016).
Cited by
223 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献