Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Sociedad Venezolana de Farmacología Clínica y Terapéutica
2018
|
| Subjects: | |
| Online Access: | https://www.redalyc.org/articulo.oa?id=55963209007 https://www.redalyc.org/journal/559/55963209007/ https://www.redalyc.org/journal/559/55963209007/html/ https://www.redalyc.org/journal/559/55963209007/55963209007.epub https://www.redalyc.org/journal/559/55963209007/movil |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Low grade glioma segmentation using an automatic computational technique in magnetic resonance imaging Miguel Vera Yoleidy Huérfano Oscar Valbuena Yudith Contreras María Cuberos Marisela Vivas Williams Salazar María Isabel Vera Maryury Borrero Carlos Hernández Doris Barrera Ángel Valentín Molina Luis Javier Martínez Juan Salazar Elkin Gelvez Frank Sáenz Medicina mor Cerebral tu Segmentation Low grade glioma Grade II astrocytoma Through this work we propose a computational technique for the segmentation of a brain tumor, identified as low grade glioma (LGG), specifically grade II astrocytoma, which is present in magnetic resonance images (MRI). This technique consists of 3 stages developed in the three-dimensional domain. They are: pre-processing, segmentation and post-processing. The percent relative error (PrE) is considered to compare the segmentations of the LGG, generated by a neuro-oncologist manually, with the dilated segmentations of the LGG, obtained automatically. The combination of parameters linked to the lowest PrE, allow establishing the optimal parameters of each computational algorithm that makes up the proposed computational technique. The results allow reporting a PrE of 1.43%, which indicates an excellent correlation between the manual segmentations and those produced by the computational technique developed. 2018 artículo científico 0798-0264 https://www.redalyc.org/articulo.oa?id=55963209007 https://www.redalyc.org/journal/559/55963209007/ https://www.redalyc.org/journal/559/55963209007/html/ https://www.redalyc.org/journal/559/55963209007/55963209007.epub https://www.redalyc.org/journal/559/55963209007/movil en http://www.redalyc.org/revista.oa?id=559 Archivos Venezolanos de Farmacología y Terapéutica application/pdf Sociedad Venezolana de Farmacología Clínica y Terapéutica Archivos Venezolanos de Farmacología y Terapéutica (República Bolivariana de Venezuela) Num.4 Vol.37