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Detecting White Spot Lesions On Post Orthodontic Oral Photographs Using Deep Learning Based On The YOLOv5x Algorithm A Pilot Study by alkhalil alhosami is a document available to read on EtoBox.

What is Detecting White Spot Lesions On Post Orthodontic Oral Photographs Using Deep Learning Based On The YOLOv5x Algorithm A Pilot Study about?

This pilot study evaluates the performance of the YOLOv5x deep learning algorithm in detecting white spot lesions in post-orthodontic oral photographs using a dataset of 435 images. The model achieved a precision of 0.786, recall of 0.618, and an F1 score of 0.692, indicating a promising but lower than expected accuracy for clinical application. The study suggests that increasing the dataset and modifying the algorithm could enhance detection capabilities in future research.

Author

alkhalil alhosami

Language

EN