Prediction of Mandibular Morphology through Artificial Neural Networks

Viloria, Amelec; Mendinueta, Martha; Borrero, Luz Adriana; Pineda, Omar Bonerge

doi:10.1016/j.procs.2020.03.064

Cited by 2 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The descriptive term bicondilar is used both by the classical Spanish literature (Figún & Gariño, 1984;Testut & Latarjet, 1996) and by the current Spanish literature (Contreras et al, 2017) characterizing the TMJ by its two articular surfaces as "Condyles". Unfortunately, it is also used in clinical or therapeutic contexts to describe other conditions that involve both mandibular condyles as "bicondylar fractures" (Arboleda-Ariza et al, 2017) or "bicondylar hyperplasias" (Sedano Balbin et al, 2019), situation that also occurs for that use of the term in English (Cascone et al, 2017;Viloria et al, 2020). Fuentes et al (2016a) had already reported these discrepancies in the terms used to describe the TMJ structures, both in the academic and clinical settings.…”

Section: Discussionmentioning

confidence: 99%

Use of “Bicondylar” as a Descriptive Term for the Temporomandibular Joint: A Scoping Review

2022

View full text Add to dashboard Cite

The temporomandibular joint (TMJ) is the joint between the mandibular condyles, the mandibular fossa and the articular tubercle of the temporal bone. TMJ has been described as a "bicondylar" joint, a term that in current literature is used in multiple and dissimilar contexts. We present a scoping review of the term "bicondylar" as a descriptive term for TMJ in the scientific literature of the last 5 years. After selection according to the inclusion/exclusion criteria, 24 articles were selected for further analysis. The countries with the most publications were Brazil, India and Turkey with 3 articles each. Seven articles (29.17 %) were published by Spanishspeaking authors, six of these written in Spanish. Regarding the use of the term "bicondylar", 50 % of the articles referred to this term but did not explain it; 25 % cited this term to refer to the location in the left and right mandibular condyles; and 25 % the articles use the term and explain it according to the morphology of the articular surfaces. Discrepancies were also detected regarding as to how to consider TMJ: 54.17 % considered that TMJ is a single joint between a single bone (the jaw) and two bones of the cranium, while 45.83 % considered that TMJ are actually two different TMJs that work at the same time. We suggest discussing the appropriate use of the term "bicondylar" to avoid confusion and to be able to adapt and satisfy the needs of both anatomists and clinicians.

show abstract

Section: Discussionmentioning

confidence: 99%

Use of “Bicondylar” as a Descriptive Term for the Temporomandibular Joint: A Scoping Review

2022

View full text Add to dashboard Cite

show abstract

“…To predict TMJ-OA of Magnetic Resonance Imaging (MRI), Ito et al [29] created a computerized articular disc detection and partition model. The Detection for Displaced Articular DISC based on CNN (3DiscNet), U-Net, and SegNet-based semantic partition techniques were used to separate the TMJ articular discs from various MRI images.…”

Section: International Journal On Recent and Innovation Trends In Com...mentioning

confidence: 99%

Progressive Faster Residual Convolutional Neural Network for Improving Osteoarthritis of the Temporomandibular Joint Detection

Krishnamoorthy,

Baskaran

2023

IJRITCC

View full text Add to dashboard Cite

Osteoarthritis of the Temporomandibular Joint (TMJ-OA) is a chronic condition that affects the TMJ and is characterized by the progressive degeneration of the internal surfaces of the joint. Several deep learning models were adopted for identifying the TMJ-OA from the panoramic dental X-ray scans. Amongst, an Optimized Generative Adversarial Network (OGAN) with Faster Residual Convolutional Neural Network (FRCNN) produces more synthetic images to train the FRCNN for recognizing TMJ-OA cases. But, its accuracy was comparatively low while recognizing Region-of-Interest (RoI) from the panoramic scans that have analogous objects. Hence in this paper, an OGAN with a Progressive FRCNN (OGAN-PFRCNN) model is proposed, which enhances the FRCNN by integrating the Feature Pyramid Network (FPN) and RoI-grid attention strategy for TMJ-OA identification. First, the training images are fed to the ResNet101 for feature mining, which provides Multi-Scale Feature Map (MSFM) from the dental panoramic scans. Those features are then passed to the FPN with the RoI-grid attention strategy, which encodes richer characteristics by considering standard attention and graph-based point functions into a combined formulation. Then, those characteristics are fused at various levels to get a useful MSFM, which increases the network efficiency significantly. Moreover, such a Feature Map (FMap) is used to train the PFRCNN model, which is later applied to recognize the test scans into either healthy or TMJ-OA. At last, the testing outcomes show that the OGAN-PFRCNN attains 96.2% accuracy on the panoramic dental X-ray database compared to the FRCNN model.

show abstract

Prediction of Mandibular Morphology through Artificial Neural Networks

Cited by 2 publications

References 17 publications

Use of “Bicondylar” as a Descriptive Term for the Temporomandibular Joint: A Scoping Review

Use of “Bicondylar” as a Descriptive Term for the Temporomandibular Joint: A Scoping Review

Progressive Faster Residual Convolutional Neural Network for Improving Osteoarthritis of the Temporomandibular Joint Detection

Contact Info

Product

Resources

About

Prediction of Mandibular Morphology through Artificial Neural Networks

Cited by 2 publications

References 17 publications

Use of &#8220;Bicondylar&#8221; as a Descriptive Term for the Temporomandibular Joint: A Scoping Review

Use of &#8220;Bicondylar&#8221; as a Descriptive Term for the Temporomandibular Joint: A Scoping Review

Progressive Faster Residual Convolutional Neural Network for Improving Osteoarthritis of the Temporomandibular Joint Detection

Contact Info

Product

Resources

About

Use of “Bicondylar” as a Descriptive Term for the Temporomandibular Joint: A Scoping Review

Use of “Bicondylar” as a Descriptive Term for the Temporomandibular Joint: A Scoping Review