Cargando…

Intra-oral scan segmentation using deep learning

OBJECTIVE: Intra-oral scans and gypsum cast scans (OS) are widely used in orthodontics, prosthetics, implantology, and orthognathic surgery to plan patient-specific treatments, which require teeth segmentations with high accuracy and resolution. Manual teeth segmentation, the gold standard up until...

Descripción completa

Detalles Bibliográficos
Autores principales:	Vinayahalingam, Shankeeth, Kempers, Steven, Schoep, Julian, Hsu, Tzu-Ming Harry, Moin, David Anssari, van Ginneken, Bram, Flügge, Tabea, Hanisch, Marcel, Xi, Tong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481506/ https://www.ncbi.nlm.nih.gov/pubmed/37670290 http://dx.doi.org/10.1186/s12903-023-03362-8

Ejemplares similares

Classification of caries in third molars on panoramic radiographs using deep learning
por: Vinayahalingam, Shankeeth, et al.
Publicado: (2021)

Detection of mandibular fractures on panoramic radiographs using deep learning
por: Vinayahalingam, Shankeeth, et al.
Publicado: (2022)

Digital Implant Planning in Patients with Ectodermal Dysplasia: Clinical Report
por: Bohner, Lauren, et al.
Publicado: (2022)

A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery
por: Eschert, Tim, et al.
Publicado: (2022)

Automated detection of third molars and mandibular nerve by deep learning
por: Vinayahalingam, Shankeeth, et al.
Publicado: (2019)

Detection of oral squamous cell carcinoma in clinical photographs using a vision transformer
por: Flügge, Tabea, et al.
Publicado: (2023)

Patients’ perspectives on the use of artificial intelligence in dentistry: a regional survey
por: Ayad, Nasim, et al.
Publicado: (2023)

Skeletal structure of asymmetric mandibular prognathism and retrognathism
por: Xi, Tong, et al.
Publicado: (2023)

Is the pattern of mandibular asymmetry in mild craniofacial microsomia comparable to non-syndromic class II asymmetry?
por: Chen, Yun-Fang, et al.
Publicado: (2022)

The role of muscular traction in the occurrence of skeletal relapse after advancement bilateral sagittal split osteotomy (BSSO): A systematic review
por: Van den Bempt, Maxim, et al.
Publicado: (2021)

Optimizing efficiency in the creation of patient-specific plates through field-driven generative design in maxillofacial surgery
por: Tel, Alessandro, et al.
Publicado: (2023)

Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients
por: Xie, Weiyi, et al.
Publicado: (2023)

Median Lingual Foramen, a new midmandibular cephalometric landmark
por: Vandekerckhove, David, et al.
Publicado: (2020)

Dataset of prostate MRI annotated for anatomical zones and cancer
por: Adams, Lisa C., et al.
Publicado: (2022)

Emulating Clinical Diagnostic Reasoning for Jaw Cysts with Machine Learning
por: Feher, Balazs, et al.
Publicado: (2022)

Super-Resolution of Dental Panoramic Radiographs Using Deep Learning: A Pilot Study
por: Mohammad-Rahimi, Hossein, et al.
Publicado: (2023)

Emphysema subtyping on thoracic computed tomography scans using deep neural networks
por: Xie, Weiyi, et al.
Publicado: (2023)

A Patient Specific Biomechanical Analysis of Custom Root Analogue Implant Designs on Alveolar Bone Stress: A Finite Element Study
por: Anssari Moin, David, et al.
Publicado: (2016)

Exploring Deep Cervical Compartments in Head and Neck Surgical Oncology through Augmented Reality Vision: A Proof of Concept
por: Tel, Alessandro, et al.
Publicado: (2023)

iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network
por: Aresta, Guilherme, et al.
Publicado: (2019)

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
por: Ghafoorian, Mohsen, et al.
Publicado: (2017)

Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning
por: van Ginneken, Bram
Publicado: (2017)

Notch signaling, the segmentation clock, and the patterning of vertebrate somites
por: Lewis, Julian, et al.
Publicado: (2009)

White Matter and Gray Matter Segmentation in 4D Computed Tomography
por: Manniesing, Rashindra, et al.
Publicado: (2017)

Estimation of Alveolar Bone Loss in Periodontitis Using Machine Learning
por: Tsoromokos, Nektarios, et al.
Publicado: (2022)

Author Correction: White Matter and Gray Matter Segmentation in 4D Computed Tomography
por: Manniesing, Rashindra, et al.
Publicado: (2018)

Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
por: Bándi, Péter, et al.
Publicado: (2019)

Semantic Segmentation of Terrestrial Laser Scans of Railway Catenary Arches: A Use Case Perspective
por: Ton, Bram, et al.
Publicado: (2022)

Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans
por: Hendrix, Ward, et al.
Publicado: (2023)

Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing
por: Chlebus, Grzegorz, et al.
Publicado: (2018)

Automatic segmentation of deep intracerebral electrodes in computed tomography scans
por: Arnulfo, Gabriele, et al.
Publicado: (2015)

Fusion of intra-oral scans in cone-beam computed tomography scans
por: Baan, F., et al.
Publicado: (2020)

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
por: Bulten, Wouter, et al.
Publicado: (2019)

The Potential of Artificial Intelligence to Analyze Chest Radiographs for Signs of COVID-19 Pneumonia
por: van Ginneken, Bram
Publicado: (2021)

Surgical treatment of peri‐implantitis defects with two different xenograft granules: A randomized clinical pilot study
por: Polymeri, Angeliki, et al.
Publicado: (2020)

Non‐surgical peri‐implantitis treatment with or without systemic antibiotics: a randomized controlled clinical trial
por: Polymeri, Angeliki, et al.
Publicado: (2022)

Deep generative models for automated muscle segmentation in computed tomography scanning
por: Nishiyama, Daisuke, et al.
Publicado: (2021)

Deep learning-based segmentation of the thorax in mouse micro-CT scans
por: Malimban, Justin, et al.
Publicado: (2022)

Label-efficient deep semantic segmentation of intracranial hemorrhages in CT-scans
por: Spahr, Antoine, et al.
Publicado: (2023)

Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections
por: Chlebus, Grzegorz, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_i31pav1idpktschhsud0r2l8mk