Diagnostics (Basel, Switzerland)
Comparative Analysis of Deep Learning Architectures for Automatic Tooth Segmentation in Panoramic Dental Radiographs: Balancing Accuracy and Computational Efficiency.
Alperen Yalım, Emre Aytugar, Fahrettin Kalabalık, İsmail Akdağ
Published: 202610.3390/diagnostics16020336
Abstract
Background/Objectives: This study provides a systematic benchmark of U-Net-based deep learning models for automatic tooth segmentation in panoramic dental radiographs, with a specific focus on how segmentation accuracy changes as computational cost i…
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