Comparative Analysis of Advanced Machine Learning Based Techniques to Identify the Lung Cancer: A Review-Reference-Cited by-同舟云学术

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Comparative Analysis of Advanced Machine Learning Based Techniques to Identify the Lung Cancer: A Review

Published:2022 Issue: Volume: Page:3-15
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Acharya B. Samirana,Ramasubramanian K.

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-21385-4_1

Reference23 articles.

1. Ahmed, J., et al.: COPD classification in CT images using a 3D convolutional neural network. In: Maier-Hein, K., Palm, C. (eds.) Bildverarbeitung für Die Medizin 2020—Informatik Aktuell, pp. 39–45. Springer Vieweg, Wiesbaden (2020)

2. Altan, G., Kutlu, Y., Allahwardi, N.: Deep learning on computerized analysis of chronic obstructive pulmonary disease. IEEE J. Biomed. Health Inform. 24(5), 1344–1350 (2019). https://doi.org/10.1109/JBHI.2019.2931395

3. Altan, G., Kutlu, Y., Pekmezci, A.Ö., Nural, S.: Deep learning with 3D-second order difference plot on respiratory sounds. Biomed. Signal Process. Control 45, 58–69 (2018). https://doi.org/10.1016/j.bspc.2018.05.014

4. Amaral, J.L., Lopes, A.J., Jansen, J.M., Faria, A.C., Melo, P.L.: Machine learning algorithms and forced oscillation measurements applied to the automatic identification of chronic obstructive pulmonary disease. Comput. Methods Programs Biomed. 105(3), 183–193 (2012). https://doi.org/10.1016/j.cmpb.2011.09.009

5. Asaithambi, M., Manoharan, S.C., Subramanian, S.: Classification of respiratory abnormalities using adaptive neuro-fuzzy inference system. In: Pan, J.-S., Chen, S.-M., Nguyen, N.T. (eds.) Intelligent Information and Database Systems, pp. 65–73. Springer, Berlin (2012)

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1. Machine Learning-based Characterization of COPD Progression from Spirometry Data;2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2023-12-01

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