Paper Info
Title
Automated detection of parenchymal changes of ischemic stroke in non-contrast computer tomography: A fuzzy approach.
Abstract
•The method identifies changes in parenchymal density in Non-Contrast Computer Tomography for the detection of early stages of ischemic stroke.•Based on the analysis of cerebral symmetry, the method identifies non-pathological and cases with abnormalities.•The identification of normal tissues (CSF, WM and GM), using fuzzy logic techniques, simplifies the detection of parenchymal changes of ischemic stroke.
Year
DOI
Venue
2018
10.1016/j.bspc.2018.05.037
Biomedical Signal Processing and Control
Keywords
Field
DocType
Ischemic stroke,Brain tissue segmentation,Fuzzy logic
Pattern recognition,Lesion,Parenchyma,Fuzzy logic,Abnormality,Stroke,Tomography,Artificial intelligence,Radiology,Gold standard,Hounsfield scale,Mathematics
Journal
Volume
ISSN
Citations 
45
1746-8094
0
PageRank 
References 
Authors
0.34
11
8
Name
Order
Citations
PageRank
A. Davis100.34
Nelly Gordillo Castillo211.02
Eduard Montseny327240.75
Francesc Xavier Aymerich422.11
M. López-Córdova500.34
José Manuel Mejía Muñoz642.20
Leticia Ortega Máynez7183.96
Boris Mederos8767.23