Networking architecture and key supporting technologies for human digital twin in personalized healthcare: A comprehensive survey
Digital twin (DT), referring to a promising technique to digitally and accurately represent
actual physical entities, has attracted explosive interests from both academia and industry …
actual physical entities, has attracted explosive interests from both academia and industry …
Tooth automatic segmentation from CBCT images: a systematic review
Objectives To describe the current state of the art regarding technological advances in full-
automatic tooth segmentation approaches from 3D cone-beam computed tomography …
automatic tooth segmentation approaches from 3D cone-beam computed tomography …
Artificial intelligence for fast and accurate 3-dimensional tooth segmentation on cone-beam computed tomography
Introduction Tooth segmentation on cone-beam computed tomographic (CBCT) imaging is a
labor-intensive task considering the limited contrast resolution and potential disturbance by …
labor-intensive task considering the limited contrast resolution and potential disturbance by …
Multiclass CBCT image segmentation for orthodontics with deep learning
Accurate segmentation of the jaw (ie, mandible and maxilla) and the teeth in cone beam
computed tomography (CBCT) scans is essential for orthodontic diagnosis and treatment …
computed tomography (CBCT) scans is essential for orthodontic diagnosis and treatment …
A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study
Objectives Automatic tooth segmentation and classification from cone beam computed
tomography (CBCT) have become an integral component of the digital dental workflows …
tomography (CBCT) have become an integral component of the digital dental workflows …
A fully automated method for 3D individual tooth identification and segmentation in dental CBCT
Accurate and automatic segmentation of three-dimensional (3D) individual teeth from cone-
beam computerized tomography (CBCT) images is a challenging problem because of the …
beam computerized tomography (CBCT) images is a challenging problem because of the …
Collaborative deep learning model for tooth segmentation and identification using panoramic radiographs
Panoramic radiographs are an integral part of effective dental treatment planning,
supporting dentists in identifying impacted teeth, infections, malignancies, and other dental …
supporting dentists in identifying impacted teeth, infections, malignancies, and other dental …
Machine learning in dentistry: a sco** review
Machine learning (ML) is being increasingly employed in dental research and application.
We aimed to systematically compile studies using ML in dentistry and assess their …
We aimed to systematically compile studies using ML in dentistry and assess their …
Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning
Accurate and automatic segmentation of individual tooth and root canal from cone-beam
computed tomography (CBCT) images is an essential but challenging step for dental …
computed tomography (CBCT) images is an essential but challenging step for dental …
Analysis of deep learning techniques for dental informatics: a systematic literature review
Within the ever-growing healthcare industry, dental informatics is a burgeoning field of study.
One of the major obstacles to the health care system's transformation is obtaining …
One of the major obstacles to the health care system's transformation is obtaining …