DocumentCode :
286722
Title :
Towards a neural network based system for skin cancer diagnosis
Author :
Bostock, R.T.J. ; Claridge, Ela ; Harget, A.J. ; Hall, P.N.
Author_Institution :
Astron Univ., UK
fYear :
1993
fDate :
25-27 May 1993
Firstpage :
215
Lastpage :
219
Abstract :
This paper reports an investigation into the application of a multilayer perceptron to the diagnosis of skin melanoma. The lesions are classified as either benign or malignant based on information relating to the shape of their outline. The results obtained by the standard back-propagation learning algorithm are compared to those attained by various dynamic network design strategies. These demonstrate that the results attained with the standard multilayer perceptron can be improved upon by modifying the network architecture during the training process
Keywords :
feedforward neural nets; medical diagnostic computing; MLP; back-propagation learning algorithm; benign lesion; malignant lesion; malignant mole; multilayer perceptron; neural network based system; skin cancer diagnosis; skin melanoma;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Artificial Neural Networks, 1993., Third International Conference on
Conference_Location :
Brighton
Print_ISBN :
0-85296-573-7
Type :
conf
Filename :
263224
Link To Document :
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