Carcinoma Detection Using Deep Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69197-3_14
Reference10 articles.
1. Vas, M., Dessai, A.: Lung cancer detection system using lung CT image processing. In: 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA), pp. 1–5. Pune, India (2017). https://doi.org/10.1109/ICCUBEA.2017.8463851
2. Thaseen, M., UmaMaheswaran, S.K., Naik, D.A., Aware, M.S., Pundhir, P., Pant, B.: A review of using CNN approach for lung cancer detection through machine learning. In: 2022 2nd International Conference on Advance
3. Vas, M., Dessai, A.: Lung cancer detection system using lung CT image processing. In: 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA), pp. 1–5. Pune, India (2017). https://doi.org/10.1109/ICCUBEA.2017.8463851
4. Alam, J., Alam, S., Hossan, A.: Multi-stage lung cancer detection and prediction using multi-class SVM classifier. In: 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), p. 14. Rajshahi, Bangladesh (2018).https://doi.org/10.1109/IC4ME2.2018.84655
5. Xie, G., Cao, T., Yan, C.: Texture features extraction of chest HRCT images based on granualr computing. J. Multimed. 5(6), 639–647 (2010)
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