The Usage of Neural Networks for the Medical Diagnosis


Autoria(s): Malyshevska, Kateryna
Data(s)

18/04/2010

18/04/2010

2009

Resumo

The problem of cancer diagnosis from multi-channel images using the neural networks is investigated. The goal of this work is to classify the different tissue types which are used to determine the cancer risk. The radial basis function networks and backpropagation neural networks are used for classification. The results of experiments are presented.

Identificador

1313-0455

http://hdl.handle.net/10525/1213

Idioma(s)

en

Publicador

Institute of Information Theories and Applications FOI ITHEA

Palavras-Chave #Neural Networks #Backpropagation #RBF #Uterine Cervix #Cancer #Classification #Pattern Recognition #Neural Nets
Tipo

Article