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Updated: Aug 29, 2025

Comparative Analysis of Automatic Fecal Analyzer versus Direct Wet Smear Microscopy for Detecting Parasitic Infections in Stool Samples
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Automatic recognition of parasitic products in stool examination using object detection approach

Kaung Myat Naing1, Siridech Boonsang2, Santhad Chuwongin1

  • 1Center of Industrial Robot and Automation (CiRA), College of Advanced Manufacturing Innovation, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand.

Peerj. Computer Science
|September 12, 2022
PubMed
Summary

This study introduces YOLOv4-Tiny, an artificial intelligence model for detecting intestinal parasitic pathogens in stool samples. This innovation aims to improve diagnostic accessibility in remote areas by automating parasite identification.

Keywords:
Object detection approachParasite image datasetParasite products recognitionParasitic productsYOLO

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