Automated detection of parenchymal changes of ischemic stroke in non-contrast computer tomography: A fuzzy approach
The detection of ischemic changes is a primary task in the interpretation of brain Computer Tomography (CT) of patients suffering from neurological disorders. Although CT can easily show these lesions, their interpretation may be difficult when the lesion is not easily recognizable. The gold standar...
Saved in:
Main Author: | Gordillo Castillo, Nelly |
---|---|
Other Authors: | Davis, Alberto, Montseny, Eduard, Aymerich, Francesc Xavier, López-Córdova, Mario Alberto, mejia, jose, Ortega-Maynez, Leticia, Mederos, Boris |
Format: | Artículo |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | https://doi.org/10.1016/j.bspc.2018.05.037 https://doi.org/10.1016/j.bspc.2018.05.037 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A fuzzy approach for feature extraction of brain tissues in Non-Contrast CT
by: Gordillo Castillo, Nelly
Published: (2018) -
A fuzzy approach for feature extraction of brain tissues in Non-Contrast CT
by: Gordillo Castillo, Nelly
Published: (2018) -
Evaluation of social policies and programs using fuzzy logic
by: Lucio Flores Payán, et al.
Published: (2021) -
Improving segmentation of liver tumors using deep learning
by: Mejia, Jose
Published: (2020) -
Topography and Morphology of a Hydrogel Enriched with Mimosa Tenuiflora for Tissue Regeneration
by: Saucedo Acuña, Rosa Alicia
Published: (2020)