Feed forward network with back propagation algorithm for detection of breast cancer

Author

Babu, G. Anjan ; Bhukya, Sreenu Naik ; Kumar, R.S.

Author_Institution

S.V. Univ., Tirupati, India

fYear

2013

fDate

26-28 April 2013

Firstpage

181

Lastpage

185

Abstract

The paper presents Artificial Neural Network techniques that are used to determine the probability for the detection of breast cancer using feed forward neural networks trained by a back propagation algorithm. During training the back propagation were independently applied to optimize, to evolve inter connecting weights of the ANN´s. This paper explored an ANN using 25 features like (12 patient history, 13 physical findings, 4 mammography findings) and finally the result of the biopsy to determine the probability for the presence of breast cancer.

Keywords

backpropagation; cancer; feedforward neural nets; mammography; medical computing; optimisation; probability; ANN interconnecting weight optimization; artificial neural network techniques; biopsy; breast cancer detection; breast cancer detection probability; feedforward neural network training; mammography findings; patient history; physical findings; Artificial neural networks; Biopsy; Cancer; Classification algorithms; Computers; Instruction sets; Surgery; detection; optimize; probability; training;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2013 8th International Conference on

Conference_Location

Colombo

Print_ISBN

978-1-4673-4464-7

Type

conf

DOI

10.1109/ICCSE.2013.6553907

Filename

6553907