Automation of Malarial Cell Count and Stage Classification Using Morphological Operations and Variable Optimization Using Hyper-Parameter Tuning-Reference-Cited by-同舟云学术

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Automation of Malarial Cell Count and Stage Classification Using Morphological Operations and Variable Optimization Using Hyper-Parameter Tuning

Published:2021 Issue: Volume: Page:2997-3003
ISSN:1876-1100
Container-title:Advances in Automation, Signal Processing, Instrumentation, and Control
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Author:

Dutta Prakhar,Jeeva J. B.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-8221-9_281

Reference4 articles.

1. Miller LH, Good MF, Milon G (1994) Malaria pathogenesis. Science 264(5167):1878–1883

2. World Health Organization (2018) World malaria report 2018. World Health Organization. https://apps.who.int/iris/handle/10665/275867. License: CC BY-NC-SA 3.0 IGO

3. Boray TF, Dempster AG, Kale I (2006) Malaria parasite detection in peripheral blood images. BMVA, 347–356

4. Somasekar J et al (2011) An image processing approach for accurate determination of parasitemia in peripheral blood smear images. Int J Comput Appl, 23–28

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Image Analysis for Detecting Malaria Cell Using Otsu Thresholding and Machine Learning Models;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2022-06-10

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