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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Atlantis Press
2025
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/45627/ |