パノラマ歯科用X線写真における自動歯セグメンテーションのための深層学習アーキテクチャの比較分析:精度と計算効率のバランス
Alperen Yalım1, Emre Aytugar1, Fahrettin Kalabalık2
1Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Izmir Katip Celebi University, Izmir 35640, Turkey.
Diagnostics (Basel, Switzerland)
|January 28, 2026
まとめ
本研究では、歯科用X線写真における歯セグメンテーションのためのU-Net深層学習モデルのベンチマークを行いました。EfficientNet-B0は、このタスクにおいて高い精度と低い計算コストの最適なバランスを提供します。
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