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A customised 3D U-Net model for bifid mandibular canal segmentation and detection on CBCT: a diagnostic accuracy

Sara Aboseif1, Enas Anter2, Esraa Khairy2

  • 1Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Cairo University, Cairo, Egypt. sara_reda@dentistry.cu.edu.eg.

BMC Oral Health
|April 23, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
3D U-NetArtificial intelligenceBifid mandibular canalCone-beam computed tomographyDeep learningInferior alveolar nerveMandibular canal

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