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