Microcalcification enhancement and classification on mammograms using the wavelet transform

Docusse, Tiago A.; Furlani, Jullyene R.; Romano, Rodolfo P.; Guido, Rodrigo C.; Chen, Shi-Huang; Marranghello, Norian; Pereira, Aledir S.

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/70639

Title:

Microcalcification enhancement and classification on mammograms using the wavelet transform

Author(s):

Institution:

Universidade Estadual Paulista (UNESP)
Universidade de São Paulo (USP)
Shu-Te University

Abstract:

This paper presents a method to enhance microcalcifications and classify their borders by applying the wavelet transform. Decomposing an image and removing its low frequency sub-band the microcalcifications are enhanced. Analyzing the effects of perturbations on high frequency subband it's possible to classify its borders as smooth, rugged or undefined. Results show a false positive reduction of 69.27% using a region growing algorithm. © 2008 IEEE.

Issue Date:

24-Nov-2008

Citation:

Proceedings of the International Joint Conference on Neural Networks, p. 3181-3186, 2008.

Time Duration:

3181-3186

Keywords:

Wavelet transforms
False positives
High frequencies
Low frequencies
Microcalcification
Microcalcifications
Region growing algorithms
Sub bands
Neural networks

Source:

http://dx.doi.org/10.1109/IJCNN.2008.4634248

URI:

Access Rights:

Acesso restrito

Type:

outro

Source:

http://repositorio.unesp.br/handle/11449/70639

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