Enhanced Panoramic Radiograph-Based Tooth Segmentation and Identification Using an Attention Gate-Based Encoder–Decoder Network
According to the results obtained, the proposed method has great potential for the accurate segmentation of all teeth regions and backgrounds in panoramic X-ray images.
Authors
- Nebras Sobahi (ORCID: https://orcid.org/0000-0001-5788-5629)
- Sema Gül
- Adalet Çelebi (ORCID: https://orcid.org/0000-0003-2471-1942)
- Abdulkadir Şengür (ORCID: https://orcid.org/0000-0003-1614-2639)
- Muammer Türkoğlu (ORCID: https://orcid.org/0000-0002-2377-4979)
- Hüseyin Üzen (ORCID: https://orcid.org/0000-0002-0998-2130)
- Hüseyin Fırat (ORCID: https://orcid.org/0000-0002-1257-8518)
- Salih Taha Alperen Özçelik (ORCID: https://orcid.org/0000-0002-7929-7542)
Institutions
- Dicle University (TR)
- Fırat University (TR)
- Bingöl University (TR)
- King Abdulaziz University (SA)
- Ondokuz Mayıs University (TR)
- Samsun University (TR)
- Mersin Üniversitesi (TR)
Publication Details
- Journal
- Diagnostics
- Published
- 2024-12-03
- DOI
- https://doi.org/10.3390/diagnostics14232719
- Citations
- 8
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 3.95
Funders
- Firat Üniversitesi