The diagnostic performance of impacted third molars in the mandible: A review of deep learning on panoramic radiographs

Background: Mandibular third molar is prone to impaction, resulting in its inability to erupt into the oral cavity. The radiographic examination is required to support the odontectomy of impacted teeth. The use of computer-aided diagnosis based on deep learning is emerging in the field of medical an...

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Бібліографічні деталі
Автори: Amalia Nur Faadiya (Автор), Rini Widyaningrum (Автор), Pingky Krisna Arindra (Автор), Silviana Farrah Diba (Автор)
Формат: Книга
Опубліковано: Elsevier, 2024-03-01T00:00:00Z.
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