Accuracy of software designed for automated localization of the inferior alveolar nerve canal on cone beam CT images

The aim of this study was to design and evaluate a new method for automated localization of the inferior alveolar nerve canal on CBCT images. The proposed method is based on traversing both panoramic and cross-sectional slices. For the panoramic slices, morphological skeletonization is imposed, and...

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Veröffentlicht in:	Dento-maxillo-facial radiology 2016-02, Vol.45 (2), p.20150298-20150298
Hauptverfasser:	Bahrampour, Ehsan, Zamani, Ali, Kashkouli, Sadegh, Soltanimehr, Elham, Ghofrani Jahromi, Mohsen, Sanaeian Pourshirazi, Zahra
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anatomy, Cross-Sectional - statistics & numerical data Cone-Beam Computed Tomography - statistics & numerical data Dentistry Humans Image Processing, Computer-Assisted - statistics & numerical data Imaging, Three-Dimensional - statistics & numerical data Mandibular Nerve - diagnostic imaging Radiography, Panoramic - statistics & numerical data Software - statistics & numerical data Software Design
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