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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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
The Science and Information (SAI) Organization Limited
2025
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| Subjects: | |
| 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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