Segmentation of Panoramic Dental Radiograph Using AI: AU-Net Based Approach
Principal Investigator
Dental radiographs, particularly panoramic X-rays, are critical for diagnosing and planning treatments for various dental conditions. Traditional manual analysis of these images is labor-intensive and prone to errors. Artificial Intelligence (AI), especially deep learning techniques, has transformed image segmentation tasks. This research investigates the application and comparative performance of four advanced AI-driven deep learning models—U-Net, TransUNet, V-Net, and UNet++—for segmenting dental structures in panoramic X-rays.
10 Dec 2024 - 13 Dec 2024
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AI-Driven Dental Image Segmentation, U-Net, TransUNet, V-Net, UNet++, Deep Learning, Panoramic X-rays, Orthodontics, Implantology, Endodontics, Automated Diagnosis.
JCU Singapore
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