Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning
Authors
Keywords
-
Journal
MEDICAL IMAGE ANALYSIS
Volume 85, Issue -, Pages 102750
Publisher
Elsevier BV
Online
2023-01-20
DOI
10.1016/j.media.2023.102750
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- DigestPath: a Benchmark Dataset with Challenge Review for the Pathological Detection and Segmentation of Digestive-System
- (2022) Qian Da et al. MEDICAL IMAGE ANALYSIS
- A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images
- (2022) Zhiming Cui et al. Nature Communications
- Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency
- (2022) Xiangde Luo et al. MEDICAL IMAGE ANALYSIS
- WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
- (2022) Xiangde Luo et al. MEDICAL IMAGE ANALYSIS
- Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures
- (2022) Ran Gu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation
- (2021) Wenji Wang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention
- (2021) Guotai Wang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Pose-aware instance segmentation framework from cone beam CT images for tooth segmentation
- (2020) Minyoung Chung et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Adversarial Confidence Learning for Medical Image Segmentation and Synthesis
- (2020) Dong Nie et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Root Canal Morphology of the Permanent Mandibular Incisors by Cone Beam Computed Tomography: A Systematic Review
- (2020) Silvia Herrero-Hernández et al. Applied Sciences-Basel
- Accurate and automatic tooth image segmentation model with deep convolutional neural networks and level set method
- (2020) Yunyun Yang et al. NEUROCOMPUTING
- Annotation-Efficient Learning for Medical Image Segmentation Based on Noisy Pseudo Labels and Adversarial Learning
- (2020) Lu Wang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation
- (2018) Eduardo Romera et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- 3D printed replicas for endodontic education
- (2018) M. Reymus et al. INTERNATIONAL ENDODONTIC JOURNAL
- A Method for Tooth Model Reconstruction Based on Integration of Multimodal Images
- (2018) Xinwen Zhou et al. Journal of Healthcare Engineering
- Tooth and Alveolar Bone Segmentation From Dental Computed Tomography Images
- (2018) Yangzhou Gan et al. IEEE Journal of Biomedical and Health Informatics
- CBCT image based segmentation method for tooth pulp cavity region extraction
- (2018) Lei Wang et al. DENTOMAXILLOFACIAL RADIOLOGY
- A Novel Strategy to Engineer Pre-Vascularized Full-Length Dental Pulp-like Tissue Constructs
- (2017) Avathamsa Athirasala et al. Scientific Reports
- 3D exemplar-based random walks for tooth segmentation from cone-beam computed tomography images
- (2016) Yuru Pei et al. MEDICAL PHYSICS
- Influence of CBCT parameters on the output of an automatic edge-detection-based endodontic segmentation
- (2015) J Michetti et al. DENTOMAXILLOFACIAL RADIOLOGY
- CT segmentation of dental shapes by anatomy-driven reformation imaging and B-spline modelling
- (2015) S. Barone et al. International Journal for Numerical Methods in Biomedical Engineering
- Leaf segmentation in plant phenotyping: a collation study
- (2015) Hanno Scharr et al. MACHINE VISION AND APPLICATIONS
- A level-set based approach for anterior teeth segmentation in cone beam computed tomography images
- (2014) Dong Xu Ji et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Cone beam computed tomography in Endodontics - a review
- (2014) S. Patel et al. INTERNATIONAL ENDODONTIC JOURNAL
- A Study of the Root Canal Morphology of Mandibular Anterior Teeth Using Cone-beam Computed Tomography in a Chinese Subpopulation
- (2014) Ting Han et al. JOURNAL OF ENDODONTICS
- Toward accurate tooth segmentation from computed tomography images using a hybrid level set model
- (2014) Yangzhou Gan et al. MEDICAL PHYSICS
- CBCT study of root and canal morphology of permanent mandibular incisors in a Chinese population
- (2013) Jia Liu et al. ACTA ODONTOLOGICA SCANDINAVICA
- Maxillofacial cone beam computed tomography: essence, elements and steps to interpretation
- (2012) WC Scarfe et al. AUSTRALIAN DENTAL JOURNAL
- The diagnosis and conservative treatment of a complex type 3 dens invaginatus using cone beam computed tomography (CBCT) and 3D plastic models
- (2012) A. Kfir et al. INTERNATIONAL ENDODONTIC JOURNAL
- Cone-Beam Computed Tomography Study of Root and Canal Morphology of Maxillary First and Second Molars in an Indian Population
- (2010) Prasanna Neelakantan et al. JOURNAL OF ENDODONTICS
- Individual tooth segmentation from CT images using level set method with shape and intensity prior
- (2010) Hui Gao et al. PATTERN RECOGNITION
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started