Paper Info
Title
Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines
Abstract
Breast cancer is one of the diseases causing the largest number of deaths among women. Its early detection has been proved to be the most effective way to combat it. This work is focused on developing an integral tool able to detect microcalcifications in mammographies, since the presence of these particles is a clear symptom of an incipient cancer. The proposed approach combines two techniques successfully used in other areas separately, such as linear pixel prediction and support-vector machines, in order to obtain almost perfect prediction accuracy. Moreover, a filter has been designed with the aim of decrease the processing time. The result verges on 96% of hits, improving previous works by 6%, on average.
Year
DOI
Venue
2007
10.1109/CBMS.2007.38
Maribor
Keywords
Field
DocType
biomedical imaging,cancer,mammography,breast cancer,linear pixel prediction,mammography,microcalcifications,support-vector machines
Mammography,Computer vision,Early detection,Breast cancer,Computer science,Medical imaging,Support vector machine,Image processing,Pixel,Artificial intelligence,Cancer
Conference
ISSN
ISBN
Citations 
1063-7125
0-7695-2905-4
2
PageRank 
References 
Authors
0.39
4
4
Name
Order
Citations
PageRank
Martinez-Alvarez, F.120.39
Alicia Troncoso215320.88
J. C. Riquelme323914.01
Aguilar-Ruiz, J.S.4323.04