An intelligent support system for automatic detection of cerebral vascular accidents from brain CT images

Objective: This paper presents a Radial Basis Functions Neural Network (RBFNN) based detection system, for automatic identification of Cerebral Vascular Accidents (CVA) through analysis of Computed Tomographic (CT) images. Methods: For the design of a neural network classifier, a Multi Objective Gen...

Full description

Bibliographic Details
Main Author: Hajimani, Elmira (author)
Other Authors: Ruano, M G (author), Ruano, Antonio (author)
Format: article
Language:eng
Published: 2019
Subjects:
Multiple-sclerosis lesions
Segmentation
Networks
Classification
Algorithm
Features
Models
Online Access:http://hdl.handle.net/10400.1/13074
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/13074

Internet

http://hdl.handle.net/10400.1/13074

Similar Items