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--- |
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title: Capstone |
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emoji: 🌖 |
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colorFrom: blue |
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colorTo: purple |
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sdk: docker |
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app_port: 7860 |
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--- |
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# Dental X-Ray Segmentation Capstone |
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This Space hosts a deep learning model for the automatic segmentation of dental panoramic X-rays. |
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## How to use |
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1. Upload a panoramic dental X-ray (JPEG/PNG). |
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2. Click "Run Segmentation". |
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3. View the overlay and detection data. |
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## Citations and References |
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This project utilizes the following research and datasets. Please cite them if you use this work: |
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> 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), 55565–55585. |
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> 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. |
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> Abderrahim, H. (2020). *Panoramic Dental X-rays* [Data set]. Mendeley Data, V3. |
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> Available at: [https://data.mendeley.com/datasets/73n3kz2k4k/3](https://data.mendeley.com/datasets/73n3kz2k4k/3) |
