Pattern recognition in mammographic images used by the residents in mammography
Tipo
Artigo de evento
Data de publicação
2013
Periódico
International Conference on Computer Medical Applications, ICCMA 2013
Citações (Scopus)
2
Autores
Dos Santos J.B.
De Almeida J.R.
Silva L.A.
De Almeida J.R.
Silva L.A.
Orientador
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ISSN da Revista
Título de Volume
Membros da banca
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Resumo
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). © 2013 IEEE.
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Assuntos Scopus
CBIR , Computational strategy , Content-Based Image Retrieval , Contents-based image retrievals , Features extraction , Hu moments , Mammographic , Mammographic images , Medical image classification , Self-organizing-maps