A study on Recognition of Bronchogenic Cancer Cell using Fuzzy Neural Networks / 대한의료정보학회지
Journal of Korean Society of Medical Informatics
;
: 77-87, 1999.
Artigo
em Coreano
| WPRIM
| ID: wpr-156925
ABSTRACT
A fuzzy neural network is an approach to mimic the structure and function of our brain. This method is widely applied in character recognition, but not in medical image recognition. The area of medical image recognition is challenging to our interest and can be maximally utilized the advantage of fuzzy neural networks in practice. In this paper we propose and new neural algorithm which is integrated both fuzzy self-organized and supervised learning methods. The proposed algorithm is applied for bronchogenic cancer diagnosis. The experimental results show that the correct recognition rate of our algorithm is superior to that of other neural networks.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Encéfalo
/
Lógica Fuzzy
/
Diagnóstico
/
Aprendizagem
Tipo de estudo:
Estudo diagnóstico
Idioma:
Coreano
Revista:
Journal of Korean Society of Medical Informatics
Ano de publicação:
1999
Tipo de documento:
Artigo
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