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Second International Conference on Systems and Networks Communications (ICSNC 2007)
Self-Similarity Analysis Applied to 2D Breast Cancer Imaging
Cap Esterel, France
August 25-August 31
ISBN: 0-7695-2938-0
ASCII Text
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Filipe Soares, Pawel Andruszkiewic, M?rio Freire, Paulo Cruz, Manuela Pereira, "Self-Similarity Analysis Applied to 2D Breast Cancer Imaging," Systems and Networks Communication, International Conference on, pp. 77, Second International Conference on Systems and Networks Communications (ICSNC 2007), 2007.
 
 
BibTex
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@article{ 10.1109/ICSNC.2007.76,
author = {Filipe Soares and Pawel Andruszkiewic and M?rio Freire and Paulo Cruz and Manuela Pereira},
title = {Self-Similarity Analysis Applied to 2D Breast Cancer Imaging},
journal ={Systems and Networks Communication, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2938-0},
pages = {77},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICSNC.2007.76},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Systems and Networks Communication, International Conference on
TI - Self-Similarity Analysis Applied to 2D Breast Cancer Imaging
SN - 0-7695-2938-0
SP
EP
A1 - Filipe Soares,
A1 - Pawel Andruszkiewic,
A1 - M?rio Freire,
A1 - Paulo Cruz,
A1 - Manuela Pereira,
PY - 2007
KW - null
VL - 0
JA - Systems and Networks Communication, International Conference on
ER -
 
Filipe Soares, Siemens, Portugal; University of Beira Interior, Portugal
Pawel Andruszkiewic, Siemens, Portugal; University of Beira Interior, Portugal
M?rio Freire, University of Beira Interior, Portugal
Paulo Cruz, Siemens, Portugal
Manuela Pereira, University of Beira Interior, Portugal
This article presents a new trend in computerized medical image analysis of breast cancer features, existing in mammograms (grey scale 2D images), based on recent approaches of the self-similarity formalism. A procedure for detecting small-sized details in mammograms, based on a multifractal approach, is proposed. These details can represent microcalcifications, possible signs of breast cancer. We present and discuss the results obtained using the proposed extraction method. Furthermore, we demonstrate its accuracy when applied to clinical mammograms, revealing microcalcification regions, distinguished by direct singularity information extraction.
Citation:
Filipe Soares, Pawel Andruszkiewic, M?rio Freire, Paulo Cruz, Manuela Pereira, "Self-Similarity Analysis Applied to 2D Breast Cancer Imaging," icsnc, pp.77, Second International Conference on Systems and Networks Communications (ICSNC 2007), 2007
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