Convolutional neural network‐based automated maxillary alveolar bone segmentation on cone‐beam computed tomography images
出版年份 2023 全文链接
标题
Convolutional neural network‐based automated maxillary alveolar bone segmentation on cone‐beam computed tomography images
作者
关键词
-
出版物
CLINICAL ORAL IMPLANTS RESEARCH
Volume 34, Issue 6, Pages 565-574
出版商
Wiley
发表日期
2023-03-12
DOI
10.1111/clr.14063
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Influence of dental fillings and tooth type on performance of a novel artificial intelligence-driven tool for automatic tooth segmentation on CBCT images – A validation study
- (2022) Rocharles Cavalcante Fontenele et al. JOURNAL OF DENTISTRY
- Deep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography:A validation study
- (2022) Flavia Preda et al. JOURNAL OF DENTISTRY
- Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning
- (2021) H. Wang et al. JOURNAL OF DENTAL RESEARCH
- Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography
- (2021) Pieter-Jan Verhelst et al. JOURNAL OF DENTISTRY
- Time and costs related to computer‐assisted versus non‐computer‐assisted implant planning and surgery. A systematic review
- (2021) Tobias Graf et al. CLINICAL ORAL IMPLANTS RESEARCH
- Integration of imaging modalities in digital dental workflows - possibilities, limitations, and potential future developments
- (2021) Sohaib Shujaat et al. DENTOMAXILLOFACIAL RADIOLOGY
- Duration, deviation and operator's perception of static computer assisted implant placements by inexperienced clinicians
- (2021) Jaafar Abduo et al. European Journal of Dental Education
- Use of the deep learning approach to measure alveolar bone level
- (2021) Chun‐Teh Lee et al. JOURNAL OF CLINICAL PERIODONTOLOGY
- Development and validation of a novel artificial intelligence driven tool for accurate mandibular canal segmentation on CBCT
- (2021) Pierre Lahoud et al. JOURNAL OF DENTISTRY
- A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study
- (2021) Eman Shaheen et al. JOURNAL OF DENTISTRY
- Workflow for highly porous resorbable custom 3D printed scaffolds using medical grade polymer for large volume alveolar bone regeneration
- (2020) Michal Bartnikowski et al. CLINICAL ORAL IMPLANTS RESEARCH
- Pose-aware instance segmentation framework from cone beam CT images for tooth segmentation
- (2020) Minyoung Chung et al. COMPUTERS IN BIOLOGY AND MEDICINE
- The crucial role of imaging in digital dentistry
- (2020) Bart Vandenberghe DENTAL MATERIALS
- Alveolar Bone Segmentation in Intraoral Ultrasonographs with Machine Learning
- (2020) K.C.T. Nguyen et al. JOURNAL OF DENTAL RESEARCH
- Disruptive Innovation in Dentistry: What It Is and What Could Be Next
- (2020) T. Joda et al. JOURNAL OF DENTAL RESEARCH
- Correlation Coefficients
- (2018) Patrick Schober et al. ANESTHESIA AND ANALGESIA
- Custom-made titanium devices as membranes for bone augmentation in implant treatment: Clinical application and the comparison with conventional titanium mesh
- (2015) Tomoki Sumida et al. JOURNAL OF CRANIO-MAXILLOFACIAL SURGERY
- Automated bone segmentation from dental CBCT images using patch-based sparse representation and convex optimization
- (2014) Li Wang et al. MEDICAL PHYSICS
- Different techniques of static/dynamic guided implant surgery: modalities and indications
- (2014) Marjolein Vercruyssen et al. PERIODONTOLOGY 2000
- Guided surgery: accuracy and efficacy
- (2014) Marjolein Vercruyssen et al. PERIODONTOLOGY 2000
- Artefacts in CBCT: a review
- (2011) R Schulze et al. DENTOMAXILLOFACIAL RADIOLOGY
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 MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now