A software tool for intelligent CVA diagnosis by cerebral computerized tomography

Author

Hajimani, Elmira ; Ruano, Carina A. ; Graca Ruano, M. ; Ruano, Antonio E.

Author_Institution

Univ. of Algarve, Faro, Portugal

fYear

2013

fDate

16-18 Sept. 2013

Firstpage

103

Lastpage

108

Abstract

The final goal of this work is to create an intelligent support system which assists neuroradiologists to identify Cerebral Vascular Accidents in less time, more precisely. For this purpose, the first step was the creation of a web based tool for registering pathological areas in CT images, which will allow to collect required data for training and testing our proposed classifier, a Radial Basis Function (RBF) based Neural Network.

Keywords

computerised tomography; image classification; medical image processing; neurophysiology; radial basis function networks; software tools; CT images; RBF based neural network; Web based tool; cerebral computerized tomography; cerebral vascular accident identification; intelligent CVA diagnosis; intelligent support system; neuroradiologists; pathological area registration; radial basis function based neural network; software tool; Brain; Computed tomography; DICOM; Feature extraction; Image segmentation; Lesions; Cerebral Vascular Accident; Image processing; Intelligent Support Systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing (WISP), 2013 IEEE 8th International Symposium on

Conference_Location

Funchal

Print_ISBN

978-1-4673-4543-9

Type

conf

DOI

10.1109/WISP.2013.6657491

Filename

6657491