Detection and classification of intestinal parasites with bayesian-optimized model

Automated detection of intestinal parasites in medical imaging enhances diagnostic efficiency and reduces human error. This study evaluates object detection techniques using Faster R-CNN with different backbone architectures such as ResNet, RetinaNet, ResNext and YOLOv8 series for detecting Ascaris...

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Bibliographic Details

Main Authors:	Hamza, Haifa, Kamarul Hawari, Ghazali, Ahmad, Abubakar
Format:	Article
Language:	en
Published:	The Science and Information (SAI) Organization Limited 2025
Subjects:	QA76 Computer software T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/45625/1/Detection_and_Classification_of_Intestinal_Parasites%20%281%29%20-%20haifa%20Ahmed.pdf http://umpir.ump.edu.my/id/eprint/45625/ https://dx.doi.org/10.14569/IJACSA.2025.0160492
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