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 …
in which the implant position and dimensions are currently determined manually from 3D CT …
Medical image segmentation in oral-maxillofacial surgery
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 …
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
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 …
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 …
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
Accurate segmentation of the mandibular canal is essential in dental implant and
maxillofacial surgery, which can help prevent nerve or vascular damage inside the …
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
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 …
Tomography (CBCT) images is critical for the precise planning of oral and maxillofacial …
Enhancing Patch-Based Learning for the Segmentation of the Mandibular Canal
Segmentation of the Inferior Alveolar Canal (IAC) is a critical aspect of dentistry and
maxillofacial imaging, garnering considerable attention in recent research endeavors. Deep …
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) …
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 …
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 …
allows us to introduce a 3D modeling feature for the target organ to lead the segmentation …