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What is YOLO Models for Early Lung Cancer Detection about?

This research investigates the effectiveness of various YOLO deep learning models (YOLOv5, YOLOv8, YOLOv9, YOLOv10, and YOLOv11) for the early detection and classification of lung cancer using CT images. The study finds that YOLOv8 outperforms the other versions, achieving a precision rate of 90.32% and a recall rate of 84.91%, indicating its potential to assist physicians in improving lung cancer diagnosis accuracy. The findings highlight the importance of advanced AI techniques in enhancing medical image

Author

Aldian Umbu

Language

EN