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Detection of Dental Decay in children using Modern Deep Learning Models
Detection of Dental Decay in children using Modern Deep Learning Models
Nguyễn Hữu Tuấn
Dental decay is one of the most common oral health problems worldwide, but datasets about it are very limited. This paper introduced a new dataset for dental decay, which included images of children over 12 years old from many dental facilities in Viet Nam. At the same time, we also introduced a new change learning rate method for SGD optimizer. To verify the effectiveness of the proposed method, we compare the results with the Adam optimizer to evaluate the differences in convergence speed and accuracy based on training 3 models: Faster R-CNN, YOLOv3 and DETR, without using pretrained weights
Xuất bản trên:
Detection of Dental Decay in children using Modern Deep Learning Models
Ngày đăng:
2025
Nhà xuất bản:
Journal of Information Hiding and Multimedia Signal Processing
Địa điểm:
Từ khoá:
Detect decay, Health care, Deep learning, Object detection
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