[HTML][HTML] The Application of Artificial Intelligence for Tooth Segmentation in CBCT Images: A Systematic Review
M Tarce, Y Zhou, A Antonelli, K Becker - Applied Sciences, 2024 - mdpi.com
… as a new field in dentistry, aiming to enhance dental care by … of pixel-by-pixel classification
is converted to a distance map … learning network predicted each tooth’s volumetric mask by …
is converted to a distance map … learning network predicted each tooth’s volumetric mask by …
[HTML][HTML] A generative adversarial inpainting network to enhance prediction of periodontal clinical attachment level
… Artificial intelligence was developed and utilized to predict … network to help reduce distance
distortion such as elongation … pixels of predicted inpainted anatomy, resulting in an image …
distortion such as elongation … pixels of predicted inpainted anatomy, resulting in an image …
[PDF][PDF] Machine learning approaches for segmentation and integration of root canal and dental crown
JB Bianchi - aaofoundation.net
… , show an average distance error between the prediction and the … system that confines in a
volume the rendered part of the object/… for Artificial Intelligence in healthcare imaging across …
volume the rendered part of the object/… for Artificial Intelligence in healthcare imaging across …
DTR-Net: Dual-Space 3D Tooth Model Reconstruction From Panoramic X-Ray Images
… the dental arch curve on CBCT images and project the CBCT … space, we design an implicit
function network to predict the … of volumetric computed tomography images from a single …
function network to predict the … of volumetric computed tomography images from a single …
Analysis of deep learning techniques for dental informatics: a systematic literature review
… Imaging approaches for identifying and categorizing dental … on RRC prediction and detection
might enhance dental treatment for … However, AI performed better than dental residents. On …
might enhance dental treatment for … However, AI performed better than dental residents. On …
Current applications of deep learning and radiomics on CT and CBCT for maxillofacial diseases
… left unsolved in medicine and dentistry (eg, early diagnosis, accurate prediction, and efficient
… majority of AI models in dentistry have been developed based on radiographic images to …
… majority of AI models in dentistry have been developed based on radiographic images to …
Exploring the role of Convolutional Neural Networks (CNN) in dental radiography segmentation: A comprehensive Systematic Literature Review
… By exploring well-established platforms such as Kaggle and … such as Volumetric Overlap
Error (VOE) and Relative Volume … Even when predicting the segmentation of an entire image …
Error (VOE) and Relative Volume … Even when predicting the segmentation of an entire image …
Synergistic Visualization And Quantitative Analysis Of Volumetric Medical Images
N Torosdagli - 2019 - stars.library.ucf.edu
… and (4) novel artificial intelligence algorithms to determine the … , metallic surgery nails,
dental fillings, and missing bones or … more suitable for pixel level predictions because average …
dental fillings, and missing bones or … more suitable for pixel level predictions because average …
Structure-aware long short-term memory network for 3D cephalometric landmark detection
… because the 3D volume has a much larger search space than its … pixels in the coarse feature
map M. The spatial location xi … first predict the coarse landmarks on a down-sampled image …
map M. The spatial location xi … first predict the coarse landmarks on a down-sampled image …
A Method for Predicting Dose Changes for HN Treatment Using Surface Imaging
SE Holler - 2022 - scholarscompass.vcu.edu
… Dose-volume histogram for true and predicted isodose … from dental implant, along with the
true and predicted dose for … have sought to develop artificial intelligence methods for online …
true and predicted dose for … have sought to develop artificial intelligence methods for online …