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Not Open Access | Extrinsic parameter's adjustment and potential implications in Plasmodium falciparum malaria diagnosis

October 2, 2021 - 12:59 -- NOT Open Access
Vijayalakshmi A, Rajesh Kanna B, Vijayalakshmi C
Microsc Res Tech. 2021 Sep 23

Malaria is a major public health concern, affecting over 3.2 billion people in 91 countries. The advent of digital microscopy and Machine learning with the aim of automating Plasmodium falciparum diagnosis extensively depends on the extracted image features. The color of the cells, plasma, and stained artifacts influence the topological, geometrical, and statistical parameters being used to extract image features. During microscopic image acquisition, custom adjustments to the condenser and color temperature controls often have an influence on the extracted statistical features.

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