![](/images/graphics-bg.png)
Independent Component Analysis to Detect Clustered Microcalcification Breast Cancers
Joint Authors
Gallardo-Caballero, R.
García-Manso, A.
García-Orellana, C. J.
Macías-Macías, M.
González-Velasco, H. M.
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-24
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Medicine
Information Technology and Computer Science
Abstract EN
The presence of clustered microcalcifications is one of the earliest signs in breast cancer detection.
Although there exist many studies broaching this problem, most of them are nonreproducible due to the use of proprietary image datasets.
We use a known subset of the currently largest publicly available mammography database, the Digital Database for Screening Mammography (DDSM), to develop a computer-aided detection system that outperforms the current reproducible studies on the same mammogram set.
This proposal is mainly based on the use of extracted image features obtained by independent component analysis, but we also study the inclusion of the patient’s age as a nonimage feature which requires no human expertise.
Our system achieves an average of 2.55 false positives per image at a sensitivity of 81.8% and 4.45 at a sensitivity of 91.8% in diagnosing the BCRP_CALC_1 subset of DDSM.
American Psychological Association (APA)
Gallardo-Caballero, R.& García-Orellana, C. J.& García-Manso, A.& González-Velasco, H. M.& Macías-Macías, M.. 2012. Independent Component Analysis to Detect Clustered Microcalcification Breast Cancers. The Scientific World Journal،Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-479895
Modern Language Association (MLA)
Gallardo-Caballero, R.…[et al.]. Independent Component Analysis to Detect Clustered Microcalcification Breast Cancers. The Scientific World Journal No. 2012 (2012), pp.1-6.
https://search.emarefa.net/detail/BIM-479895
American Medical Association (AMA)
Gallardo-Caballero, R.& García-Orellana, C. J.& García-Manso, A.& González-Velasco, H. M.& Macías-Macías, M.. Independent Component Analysis to Detect Clustered Microcalcification Breast Cancers. The Scientific World Journal. 2012. Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-479895
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-479895