Abnormal maxillary sinus diagnosing on CBCT images via object detection and 'straight-forward' classification deep learning strategy.
Journal of oral rehabilitation（2023）
Abstract
The deep-learning model incorporating object detection and straightforward classification strategy could achieve satisfying predictive performance for screening maxillary sinus abnormalities on CBCT images.
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Key words
cone-beam computed tomography, deep learning, dental implant, mass screening, paranasal sinus disease
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