Cargando…
Dental Segmentation in Cone-beam Computed Tomography Images Using Watershed and Morphology Operators
Teeth segmentation is an important task in computer-aided procedures and clinical diagnosis. In this paper, we propose an accurate and robust algorithm based on watershed and morphology operators for teeth and pulp segmentation and a new approach for enamel segmentation in cone-beam computed tomogra...
Autores principales: | Kakehbaraei, Somayeh, Seyedarabi, Hadi, Zenouz, Ali Taghavi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992906/ https://www.ncbi.nlm.nih.gov/pubmed/29928637 |
Ejemplares similares
-
Cone beam computed tomography for the assessment of linear scleroderma of the face
por: Di Giovanni, C., et al.
Publicado: (2018) -
Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography Volumes
por: Jaskari, Joel, et al.
Publicado: (2020) -
Operator Radiation Exposure in Cone-Beam Computed Tomography Guidance
por: Braak, SJ, et al.
Publicado: (2016) -
Accuracy of Cone-Beam Computed Tomography in Determining the Root Canal Morphology of Mandibular First Molars
por: Mokhtari, Hadi, et al.
Publicado: (2016) -
Anatomy and morphology of the nasopalatine canal using cone-beam computed tomography
por: Thakur, Arpita Rai, et al.
Publicado: (2013)