Voting Based Classification System for Malaria Parasite Detection
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-31164-2_28
Reference26 articles.
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2. Wang, W., et al.: Laser-induced surface acoustic wave sensing-based malaria parasite detection and analysis. IEEE Trans. Instrum. Meas. 71, 1–9 (2022)
3. Telang, H., Sonawane, K.: Effective performance of bins approach for classification of malaria parasite using machine learning. In: 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA), pp. 427–432 (2020)
4. Rameen, I., Shahadat, A., Mehreen, M., Razzaq, S., Asghar, M.A., Khan, M.J.: Leveraging supervised machine learning techniques for identification of malaria cells using blood smears. In: 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2), pp. 1–6 (2021)
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