Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07) Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines Maribor, Slovenia June 20-June 22 ISBN: 0-7695-2905-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.38
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.
Citation:
F. Martinez-Alvarez, A. Troncoso, J.C. Riquelme, J.S. Aguilar-Ruiz, "Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines," cbms, pp.141-146, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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