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...

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Detalhes bibliográficos
Autor principal: Hajimani, Elmira (author)
Outros Autores: Ruano, M G (author), Ruano, Antonio (author)
Formato: article
Idioma:eng
Publicado em: 2019
Assuntos:
Multiple-sclerosis lesions
Segmentation
Networks
Classification
Algorithm
Features
Models
Texto completo:http://hdl.handle.net/10400.1/13074
País:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/13074

Texto Completo

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

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