Por favor, use este identificador para citar o enlazar este ítem:
http://cimat.repositorioinstitucional.mx/jspui/handle/1008/953| A Bayesian Hierarchical Model for Classifying Craniofacial Malformations from CT Imaging | |
| SALVADOR RUIZ CORREA | |
| Acceso Abierto | |
| Atribución-NoComercial-CompartirIgual | |
| Resonancia Magnética | |
| Single-suture craniosynostosis is a condition of the sutures of the infant’s skull that causes major craniofacial deformities and is associated with an increased risk of cognitive deficits and learning/language disabilities. In this paper we adapt to classification of synostostic head shapes a Bayesian methodology that overcomes the limitations of our previously published shape representation and classification techniques. We evaluate our approach in a series of large-scale experiments and show performance superior to those of standard approaches such as Fourier descriptors, cranial spectrum, and Euclidiandistance- based analyses. | |
| IEEE | |
| 2008 | |
| Artículo | |
| Inglés | |
| Investigadores | |
| ORDENADORES DIGITALES | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Ciencias de la Computación |
Cargar archivos:
| Fichero | Tamaño | Formato | |
|---|---|---|---|
| SRCorrea2.pdf | 1.27 MB | Adobe PDF | Visualizar/Abrir |