Article

MLens: Advancing Real-Time Detection, Identification and Counting of Pathogenic Microparasites through a Web Interface

2024-11-05

Abstract excerpt

In this study, a diverse collection of images of myxozoans from the genera Henneguya and Myxobolus was created, providing a practical dataset for application in computer vision. Four versions of the YOLOv5 network were tested, achieving an average precision of 97.9%, a recall of 96.7%, and an F1 score of 97%, demonstrating the effectiveness of MLens in the automatic detection of these parasites. These results indi...

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Literature Corpus work: 10cd7994-c887-5c56-a9a0-57b3f3c5298a
DOI: 10.20944/preprints202411.0235.v1

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