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Master's Dissertation
DOI
10.11606/D.18.2017.tde-02062017-104919
Document
Author
Full name
César Henrique de Melo Santaella
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2002
Supervisor
Committee
Schiabel, Homero (President)
Mascarenhas, Nelson Delfino d'Ávila
Romero, Roseli Aparecida Francelin
Title in Portuguese
Classificação de nódulos em imagens mamográficas digitais por Transformada "Wavelet"
Keywords in Portuguese
Classificação de imagens
Mamografia
Transformada Wavelet
Abstract in Portuguese
O presente trabalho de pesquisa trata da elaboração de um esquema classificador automático para massas nodulares identificadas em imagens mamográficas digitalizadas, com base na técnica da transformada wavelet. Esse classificador é parte integrante de um esquema computadorizado para auxílio ao diagnóstico (CAD, de "computer-aided diagnosis") em mamografia, que utiliza técnicas de processamento de imagens digitais para identificar, realçar e classificar estruturas de interesse clínico. Utilizou-se também um classificador de distâncias mínimas para distribuir as imagens em suas respectivas classes. Os resultados mostraram que o classificador é capaz de diferenciar com mais de 90% de acerto entre nódulos suspeitos e não suspeito.
Title in English
not available
Keywords in English
not available
Abstract in English
This work performs an automatic classifier scheme addressed to nodular masses detected in digitalized mammographic images, based on the wavelet transform technique. This classifier is part of a computer-aided diagnosis (CAD) scheme in mammography, wich uses digital image processing techniques in order to detect, enchance and classify structures of clinical interest. Also a minimum distances classifier was used in order to distribute the images to their respective classes. Results show that this classifier is capable of differentiating suspect from non-suspect nodules with more than 90% of accuracy.
 
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Publishing Date
2017-06-02
 
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