Deep learning method for mandibular canal segmentation in dental cone beam computed tomography volumes

J Jaskari, J Sahlsten, J Järnstedt, H Mehtonen… - Scientific reports, 2020 - nature.com
Accurate localisation of mandibular canals in lower jaws is important in dental implantology,
in which the implant position and dimensions are currently determined manually from 3D CT …

Medical image segmentation in oral-maxillofacial surgery

J Li, M Erdt, F Janoos, T Chang, J Egger - Computer-Aided Oral and …, 2021 - Elsevier
This chapter first gives an introduction of various medical image segmentation algorithms
and their roles in modern computer-aided diagnosis and treatment systems. Each algorithm …

Deep segmentation of the mandibular canal: a new 3D annotated dataset of CBCT volumes

M Cipriano, S Allegretti, F Bolelli… - IEEE …, 2022 - ieeexplore.ieee.org
Inferior Alveolar Nerve (IAN) canal detection has been the focus of multiple recent works in
dentistry and maxillofacial imaging. Deep learning-based techniques have reached …

Mandibular canal segmentation from CBCT image using 3D convolutional neural network with scSE attention

G Du, X Tian, Y Song - IEEE Access, 2022 - ieeexplore.ieee.org
In dental implant planning, the mandibular canal is an important reference for determining
the safe position of the implant. Accurate and automatic segmentation of the mandibular …

Whole mandibular canal segmentation using transformed dental CBCT volume in Frenet frame

H Zhao, J Chen, Z Yun, Q Feng, L Zhong, W Yang - Heliyon, 2023 - cell.com
Accurate segmentation of the mandibular canal is essential in dental implant and
maxillofacial surgery, which can help prevent nerve or vascular damage inside the …

NURBS curve shape prior-guided multiscale attention network for automatic segmentation of the inferior alveolar nerve

S Jiang, J Xu, W Wang, B Tao, Y Wu, X Chen - … Medical Imaging and …, 2025 - Elsevier
Accurate segmentation of the inferior alveolar nerve (IAN) within Cone-Beam Computed
Tomography (CBCT) images is critical for the precise planning of oral and maxillofacial …

Enhancing Patch-Based Learning for the Segmentation of the Mandibular Canal

L Lumetti, V Pipoli, F Bolelli, E Ficarra, C Grana - IEEE Access, 2024 - ieeexplore.ieee.org
Segmentation of the Inferior Alveolar Canal (IAC) is a critical aspect of dentistry and
maxillofacial imaging, garnering considerable attention in recent research endeavors. Deep …

[HTML][HTML] Ameloblastoma in a three-year-old child with Hurler Syndrome (Mucopolysaccharidosis Type I)

M Di Bartolomeo, A Pellacani, S Negrello… - Reports, 2022 - mdpi.com
Mucopolysaccharidoses (MPS) are a family of genetic diseases associated with a deficiency
of alpha-L iduronidase, which causes a lack of catabolism of glycosaminoglycans (GAGs) …

Fully automated detection of the mandibular canal in cone beam CT images using Lie group based statistical shape models

F Abdolali, RA Zoroofi, A Biniaz - 2018 25th National and 3rd …, 2018 - ieeexplore.ieee.org
Automatic detection of mandibular canal in cone beam CT data is an essential step for
planning and guiding implant surgery. In this work, we present a new detection method …

3D Active Shape Model for CT-scan liver segmentation

N Trabelsi, K Aloui, DB Sellem - 2016 7th International …, 2016 - ieeexplore.ieee.org
This paper present an automatic 3D liver segmentation based on Active Shape Model. It
allows us to introduce a 3D modeling feature for the target organ to lead the segmentation …