In this paper, we propose a hybrid technique to classify teeth in computed tomography (CT) dental images.

... The objective of this work is to automate the teeth classification and numbering process in multi-slice CT (MSCT) images. In the previous work [19] , we ...

Classification and numbering of teeth in multi-slice CT images using wavelet-Fourier descriptor · Automatic classification of teeth in bitewing dental images.

Data were synthesized to identify key advancements, challenges, and future directions. The advancements in photon counting detector Computed Tomography (CT), ...

Automated dental recognition by wavelet descriptors in CT multi-slices data. Int. J. Comput. Assist. Radiol. Surg. 3(6): 533-542 (2008). [+][–]. Coauthor ...

Mar 9, 2023 · We evaluate the performance of a tooth detection approach on mandibles with missing parts or pathologies based on statistical shape models.

Momeni M, Zoroofi RA (2008) Automated dental recognition by wavelet descriptors in CT multi-slices data. Int J CARS 3: 533–542. doi: 10.1007/s11548-008-0255 ...

Automated dental recognition by wavelet descriptors in CT multi-slices data. Maryam Momeni; Reza Aghaeizadeh Zoroofi. Original Article 28 August 2008 Pages ...

[3] Momeni and Aghaeizadeh Zoroofi introduced an automated method based on wavelet descriptors to dental recognition in multislice computed tomography (MSCT) ...

Automated dental recognition by wavelet descriptors in CT multi-slices data. verfasst von: Maryam Momeni, Reza Aghaeizadeh Zoroofi. Erschienen in ...