Pattern recognition in mammographic images used by the residents in mammography

Author

Bispo dos Santos, Jamilson ; de Almeida, J.R. ; Silva, Leonardo Adolpho

Author_Institution

Dept. de Eng. de Comput. e Sist. Digitais Escola Politec., Univ. Sao Paulo (USP), Sao Paulo, Brazil

fYear

2013

fDate

20-22 Jan. 2013

Firstpage

1

Lastpage

6

Abstract

This paper presents a computational strategy for content based image retrieval (CBIR-Content-Based Image Retrieval), considering the similarity in relation to an image already selected. The identification of similarity is obtained by feature extraction, using the technique of wavelet combined with Hu moments. The classification of mammographic is performed using Artificial Neural Networks, through the classifier Self-Organizing Map (SOM). The proposed method is tested with a database of the Laboratory of Medical Image Classification (QUALIM) Department of Diagnostic Imaging, Federal University of São Paulo (UNIFESP).

Keywords

feature extraction; image classification; image recognition; image retrieval; mammography; medical image processing; self-organising feature maps; wavelet transforms; CBIR; Department of Diagnostic Imaging; Federal University of Sao Paulo; Hu moment; Laboratory of Medical Image Classification; QUALIM database; SOM classifier; artificial neural network; content based image retrieval; feature extraction; mammographic image; mammography; pattern recognition; self-organizing map; similarity identification; wavelet technique; Image retrieval; Medical diagnostic imaging; Medical services; Training; Wavelet transforms; CBIR; Data Mining; Digital Image Processing; Pattern Recognition; SOM;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Medical Applications (ICCMA), 2013 International Conference on

Conference_Location

Sousse

Print_ISBN

978-1-4673-5213-0

Type

conf

DOI

10.1109/ICCMA.2013.6506175

Filename

6506175