DocumentCode :
456504
Title :
Neuron Networks in Recognition the Brain Lesions.
Author :
Lassouaoui, N. Zerkhefaoui ; Hamami, L. ; Nouali, N. ; Hadjar, S.
Author_Institution :
Res. Center on Sci. & Tech. Inf., Algiers
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
1779
Lastpage :
1784
Abstract :
In this paper, we principally present the recognition stage of computer vision system for helping the doctors in tracking the brain lesions. We briefly present the algorithms used for image filtering, lesion detection, compute the morphological characteristics of lesions. The proposed algorithms are based on various theories such as: morphological geodesy and genetic algorithms. We present also in details the recognition stage. For that, we propose to use the neuron networks. They are specified by their capacity of training and generalization. We choose the multi-layer neuron network with retropropagation training since it allows a supervised training for exploiting the information about lesion. Our algorithms are tested on several brain images, we give one example result
Keywords :
brain; computer vision; genetic algorithms; image recognition; learning (artificial intelligence); medical image processing; neural nets; brain images; brain lesions recognition; computer vision system; genetic algorithms; image filtering; lesion detection; lesion morphological characteristics; morphological geodesy; multilayer neuron network; neuron networks; retropropagation training; supervised training; Artificial intelligence; Biomedical imaging; Brain; Cancer; Computer vision; Diseases; Lesions; Medical diagnostic imaging; Neurons; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
Type :
conf
DOI :
10.1109/ICTTA.2006.1684655
Filename :
1684655
Link To Document :
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