DocumentCode :
2725338
Title :
Classification of breast thermal images using artificial neural networks
Author :
Jakubowska, T. ; Wiecek, B. ; Wysocki, M. ; Drews-Peszynski, C. ; Strzelecki, M.
Author_Institution :
Laser Diagnosis & Therapy Center, Tech. Univ. Lodz, Poland
Volume :
1
fYear :
2004
fDate :
1-5 Sept. 2004
Firstpage :
1155
Lastpage :
1158
Abstract :
In this paper we present classification of the thermal images in order to discriminate healthy and pathological cases during breast cancer screening. Different image features and approaches for data reduction and classification have been used. The most promised method was based on wavelet transformation and nonlinear neural network classifier.
Keywords :
biomedical optical imaging; cancer; image classification; infrared imaging; mammography; medical image processing; neural nets; tumours; wavelet transforms; artificial neural network; breast cancer screening; data reduction; nonlinear neural network classifier; pathology; thermal image classification; thermal image processing; wavelet transformation; Artificial neural networks; Breast; Filtering; Image processing; Linear discriminant analysis; Neural networks; Neurons; Nonlinear filters; Principal component analysis; Signal processing; Thermal image processing; classification; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
Type :
conf
DOI :
10.1109/IEMBS.2004.1403370
Filename :
1403370
Link To Document :
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