Automated Classification Radiograph of Periodontal Bone Loss Using Deep Learning
Mohammed Abdulla Salim Al Husaini, Mohamed Hadi Habaebi, Seema Yadav · 2025
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Description
Mohammed Al Husaini, Mohamed Habaebi, and Seema Yadav compare deep learning models that grade gum disease from dental X-rays, in a study from 2025. Gum disease eats the bone that holds teeth and can end in tooth loss. Wide jaw X-rays show that loss, but reading them takes a trained eye. The team trained three known image networks to sort the scans by grade.
One model, ResNet-50, won the contest by a clear gap. It reached near ninety-seven percent accuracy under its best settings. Its precision and recall also topped the two rival networks. Extra training tricks, like varied image flips, helped all three. The authors say such a system could speed up screening in dental clinics. A larger scan library would make the tool sturdier still.
Catalog record
| CREATOR | Mohammed Abdulla Salim Al Husaini, Mohamed Hadi Habaebi, Seema Yadav |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 41 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |