Imbalance in Learning Chest X-Ray Images for COVID-19 Detection-Reference-Cited by-同舟云学术

Imbalance in Learning Chest X-Ray Images for COVID-19 Detection

Published:2021 Issue: Volume: Page:107-119
ISSN:1860-949X
Container-title:Soft Computing: Biomedical and Related Applications
language:
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Author:

Tho Dang Xuan,Anh Dao Nam

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-76620-7_9

Reference44 articles.

1. Wang, S., Yao, X.: Multiclass imbalance problems: analysis and potential solutions. IEEE Trans. Syst. Man Cybern. Part B (Cybernetics), 42(4), 1119–1130 (2012)

2. Haixiang, G., Yijing, L., Shang, J., Mingyun, G., et al.: Learning from class-imbalanced data: review of methods and applications. Expert Syst. App. 73, 220–239 (2017)

3. Shelke, M.S., Deshmukh, P.R., Shandilya, V.K.: A review on imbalanced data handling using undersampling and oversampling technique. Int. J. Recent Trends Eng. Res. 3, 444–449 (2017)

4. Shakeel, F., Sabhitha, A.S., Sharma, S.: Exploratory review on class imbalance problem: an overview. In: 2017 8th International Conference (ICCCNT), pp. 1–8. IEEE (2017)

5. Krestenitis, M., Orfanidis, G., Ioannidis, K., Avgerinakis, K., et al.: Oil spill identification from satellite images using deep neural networks. Remote Sens. 11(15), 1762 (2019)

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