Semi-Automatic Segmentation of Mammograms based on Graph Clustering
Abstract
The use of computer aided diagnosis (CAD) systems has been increasing over recent years. These systems have been widely used to detect cancers at an early stage. This paper presents the use of a graph based image segmentation and geometry measures to discriminate mass regions in mammography images.
References
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Giuliato, Denise, Barcelios, Celia A., Dias, Walter D. (2008). O Uso de Equações de Difusão no Processo de Detecção de Regiões Suspeitas em Mamografias. Em: WIM – Workshop de Informática Média, p. 121-130.
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Giuliato, Denise, Barcelios, Celia A., Dias, Walter D. (2008). O Uso de Equações de Difusão no Processo de Detecção de Regiões Suspeitas em Mamografias. Em: WIM – Workshop de Informática Média, p. 121-130.
Heath , Michael, Bowyer , Kevin, Kopans , Daniel, Moore Richard and Kegelmeyer, W. Philip (2001). The Digital Database for Screening Mammography,. In: Proceedings of the Fifth International Workshop on Digital Mammography, Medical Physics Publishing p. 212-218. ISBN 1-930524-00-5.
INCA (Instituto Nacional do Câncer) (2012). Disponível em: [link]. Acessado em: 03 de março de 2012.
Rangayyan, R.M. and El-Faramawy, N.M. and Desautels, J.E.L. and Alim, O.A. (1997) Measures of acutance and shape for classification of breast tumors. In: Medical Imaging, IEEE Transactions, V. 16 p. 799-810.
Zhang, L. (2011). A novel automatic tumor detection for breast cancer ultrasound Images. IEEE Transactions, V. 1 p. 401-404.
Published
2012-07-16
How to Cite
MOREIRA, André de Souza; BRAZ JÚNIOR, Geraldo; ROCHA, Simara Vieira da; SILVA, Aristófanes Corrêa; PAIVA, Anselmo Cardoso de.
Semi-Automatic Segmentation of Mammograms based on Graph Clustering. In: BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTH (SBCAS), 12. , 2012, Curitiba/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2012
.
p. 236-239.
ISSN 2763-8952.
