ANALYSIS, QUANTIFICATION AND IDENTIFICATION OF WORM EGGS UNDER A MICROSCOPE

Authors

  • Bahramov Rustam Rakhmatullaevich “Department of Computer Science and Information Technologies” Assistant at Samarkand State Medical University
  • Egamberdiev Sukhrobjon Hasan o’g’li Student of Samarkand State Medical University Faculty of Medicine-2

Keywords:

Helminth; Parasite egg examination; Deep learning; Object detection; Web server; Database.

Abstract

Millions of people throughout the world suffer from parasite infections. Traditionally, technicians use manual eye inspection of microscopic specimens to perform a parasite examination. However, manual operations have limitations that hinder the ability to obtain precise egg counts and cause inefficient identification of infected parasites on co-infections. The technician requirements for handling a large number of microscopic examinations in countries that have limited medical resources are substantial. We developed the helminth egg analysis platform (HEAP) as a user-friendly microscopic helminth eggs identification and quantification platform to assist medical technicians during parasite infection examination.

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Published

2024-05-30

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Section

Articles

How to Cite

ANALYSIS, QUANTIFICATION AND IDENTIFICATION OF WORM EGGS UNDER A MICROSCOPE. (2024). Spectrum Journal of Innovation, Reforms and Development, 27, 115-120. https://sjird.journalspark.org/index.php/sjird/article/view/1042