| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6920212 | Computerized Medical Imaging and Graphics | 2018 | 10 Pages |
Abstract
The findings of this study demonstrate a comprehensive phenotypic characterization of TMJ health and disease at clinical, imaging and biological levels, using novel flexible and versatile open-source tools for a web-based system that provides advanced shape statistical analysis and a neural network based classification of temporomandibular joint osteoarthritis.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Priscille de Dumast, Clément Mirabel, Lucia Cevidanes, Antonio Ruellas, Marilia Yatabe, Marcos Ioshida, Nina Tubau Ribera, Loic Michoud, Liliane Gomes, Chao Huang, Hongtu Zhu, Luciana Muniz, Brandon Shoukri, Beatriz Paniagua, Martin Styner,