| Full text | |
| Author(s): |
Bento, Mariana
;
de Souza, Roberto
;
Lotufo, Roberto
;
Frayne, Richard
;
Rittner, Leticia
;
Crimi, A
;
Bakas, S
;
Kuijf, H
;
Menze, B
;
Reyes, M
Total Authors: 10
|
| Document type: | Journal article |
| Source: | BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2017; v. 10670, p. 12-pg., 2018-01-01. |
| Abstract | |
This Grand Challenge at MICCAI 2017 aims to directly compare methods for the automatic segmentation of White Matter Hyperintensities (WMH) of presumed vascular origin. Our method automatically segment WMH by using texture-based classification of pixels within the brain white matter. It uses no a priori information about the WMH size, contrast or location. The main goal is to compute the probability of each pixel being normal or WMH tissue, by generating a probability map. Based on this probability map, we can automatically segment the WMHs. (AU) | |
| FAPESP's process: | 13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology |
| Grantee: | Fernando Cendes |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |
| FAPESP's process: | 12/21826-1 - Semi Automatic Identification and Characterization of Brain White Matter Lesions in Volumetric Resonance Magnetic Images |
| Grantee: | Mariana Pinheiro Bento |
| Support Opportunities: | Scholarships in Brazil - Doctorate |