Author:
Zaidi Taskeen,Sushma Bijjahalli Sadanandamurthy
Publisher
Springer Nature Singapore
Reference39 articles.
1. Palcic, B., Lam, S., Hung, J., MacAulay, C.: Detection and localization of early lung cancer by imaging techniques. CHEST J. 99(3) 742–743 (1991)
2. Yamomoto, S., Jiang, H., Matsumoto, M., Tateno, Y., Iinuma, T., Matsumoto, T.: Image processing for computer-aided diagnosis of lung cancer by CT(LSCT). In: Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96, pp. 236–241 (1996). https://doi.org/10.1109/ACV.1996.572061
3. Gurcan, M.N., Sahiner, B., Petrick, N., Chan, H.P., Kazerooni, E.A., Cascade, P.N., Hadjiiski, L.: Lung nodule detection on thoracic computed tomography images: preliminary evaluation of a computer-aided diagnosis system. Med. Phys. 29(11), 2552–2558. https://doi.org/10.1118/1.1515762. PMID: 12462722
4. Fakoor, R., Ladhak, F., Nazi, A., Huber M.: Using deep learning to enhance cancer diagnosis and classification. In: Proceedings of the International Conference on Machine Learning (2013)
5. Greenspan, H., van Ginneken, B., Summers, R.M.: Guest editorial deep learning in medical imaging: overview and future promise of an exciting new technique. IEEE Trans. Med. Imag. 35(5), 1153–1159 (2016)
Cited by
2 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