Abstract: This study presents the development and validation of an advanced object detection model based on YOLOv9 for the automated identification of dental caries. Utilizing a dataset of 270 dental ...
Abstract: The remote sensing image object detection has advanced significantly; yet, small object detection remains challenging due to their limited size and varying scales. Furthermore, real-world ...
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