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| title: Capstone | |
| emoji: π | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: docker | |
| app_port: 7860 | |
| # Dental X-Ray Segmentation Capstone | |
| This Space hosts a deep learning model for the automatic segmentation of dental panoramic X-rays. | |
| ## How to use | |
| 1. Upload a panoramic dental X-ray (JPEG/PNG). | |
| 2. Click "Run Segmentation". | |
| 3. View the overlay and detection data. | |
| ## Citations and References | |
| This project utilizes the following research and datasets. Please cite them if you use this work: | |
| > Brahmi, W., & Jdey, I. (2024). Automatic tooth instance segmentation and identification from panoramic X-Ray images using deep CNN. *Multimedia Tools and Applications, 83*(18), 55565β55585. | |
| > Brahmi, W., Jdey, I., & Drira, F. (2024). Exploring the role of Convolutional Neural Networks (CNN) in dental radiography segmentation: A comprehensive Systematic Literature Review. *Engineering Applications of Artificial Intelligence, 133*, 108510. | |
| > Abderrahim, H. (2020). *Panoramic Dental X-rays* [Data set]. Mendeley Data, V3. | |
| > Available at: [https://data.mendeley.com/datasets/73n3kz2k4k/3](https://data.mendeley.com/datasets/73n3kz2k4k/3) |