@InProceedings{DesernoSoirOlivAraú:2011:ToCoDi,
author = "Deserno, Thomas M. and Soiron, Michael and Oliveira, Julia E. E.
de and Ara{\'u}jo, Arnaldo de Albuquerque",
affiliation = "Department of Medical Informatics, RWTH Aachen University, Aachen,
Germany and Department of Medical Informatics, RWTH Aachen
University, Aachen, Germany and Department of Computer Science,
Universidade Federal de Minas Gerais Belo Horizonte, MG, Brazil
and Department of Computer Science, Universidade Federal de Minas
Gerais Belo Horizonte, MG, Brazil",
title = "Towards computer-aided diagnostics of screening mammography using
content-based image retrieval",
booktitle = "Proceedings...",
year = "2011",
editor = "Lewiner, Thomas and Torres, Ricardo",
organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Content-based image retrieval, Computer-aided diagnosis, Principal
component analysis, Support vector machine, Mammography, Breast
lesion, Breast density.",
abstract = "Screening mammography has been established worldwide for early
detection of breast cancer, one of the main causes of death among
women in occidental countries. In this paper, we aim at moving
towards computer-aided diagnostics of screening mammography.
Tissue and lesion are classified using the methodology of
content-based image retrieval. In addition, we aim at
comprehensive evaluation and have established a large database of
annotated reference images (ground truth), which has been merged
and unified from different sources publicly available to research.
In total, 10,509 mammographic images have been collected from the
different sources. From this, 3,375 images are provided with one
and 430 radiographs with more than one chain code annotations.
This data supports experiments with up to 12 classes, and 233
images per class if a equal distribution is required. Using a
two-dimensional principal component analysis with four eigenvalues
and a support vector machine with Gaussian kernel for feature
extraction and image retrieval, respectively, the precision of
computer-aided diagnosis is above 80%. It therefore may be used as
second opinion in screening mammography.",
conference-location = "Macei{\'o}, AL, Brazil",
conference-year = "28-31 Aug. 2011",
doi = "10.1109/SIBGRAPI.2011.40",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2011.40",
language = "en",
ibi = "8JMKD3MGPBW34M/3A3SG5H",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3A3SG5H",
targetfile = "Deserno-2011.pdf",
urlaccessdate = "2024, Apr. 28"
}