Detection and classification of intestinal parasites using advanced object detection models

Automated detection of intestinal parasites is crucial for improving diagnostic efficiency and accuracy in parasitology. This study evaluates the performance of three object detection models: Faster RCNN with ResNet back-bone, Faster RCNN with RetinaNet backbone, and YOLOv8. A dataset comprising 200...

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Bibliographic Details

Main Authors:	Hamza, Haifa, Kamarul Hawari, Ghazali, Ahmad, Abubakar
Format:	Conference or Workshop Item
Language:	en
Published:	Atlantis Press 2025
Subjects:	QA75 Electronic computers. Computer science T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/45627/1/Detection%20and%20Classification%20of%20Intestinal%20Parasites%20Using%20Advanced%20Object%20Detection%20Models%20-%20haifa%20Ahmed.pdf http://umpir.ump.edu.my/id/eprint/45627/ https://doi.org/10.2991/978-94-6463-764-9_6
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