Automated periapical lesion segmentation and area-based PAI indexing: a comparative deep learning study on periapical radiographs
Abstract Background Artificial intelligence can standardize periapical assessment, but few studies map pixel-level segmentation to clinically interpretable Periapical Index (PAI) categories under a unified protocol. Methods We retrospectively assembled 900 anonymized periapical radiographs with expe...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMC
2026-05-01
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| シリーズ: | BMC Oral Health |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1186/s12903-026-08645-4 |
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