Lung Cancer Detection Using Ensemble Learning-Reference-Cited by-同舟云学术

Lung Cancer Detection Using Ensemble Learning

Published:2022 Issue: Volume: Page:156-167
ISSN:1865-0929
Container-title:Advancements in Interdisciplinary Research
language:
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Author:

Fatima Fayeza Sifat,Jaiswal Arunima^ORCID,Sachdeva Nitin

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-23724-9_15

Reference32 articles.

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2. Ibrahim, I., Abdulazeez, A.: The role of machine learning algorithms for diagnosing diseases. J. Appl. Sci. Technol. Trends 2, 10–19 (2021). https://doi.org/10.38094/jastt20179

3. Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R.L., Torre, L.A., Jemal, A.: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer J. Clin. 68, 394–424 (2018). https://doi.org/10.3322/caac.21492

4. Lung Cancer Basics|American Lung Association. https://www.lung.org/lung-health-diseases/lung-disease-lookup/lung-cancer/basics/lung-cancer-types. Accessed February 2022

5. Nai, Y., et al.: Improving lung lesion detection in low dose positron emission tomography images using machine learning. In: 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC) (2018). https://doi.org/10.1109/nssmic.2018.8824292

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