4.
|
Independent Component Analysis for Microcalcifications Detection in Digital Mammograms
Zheng, Jun; Department of Computer Science, New Mexico Institute of Mining and Technology, Socorro, NM 87801, USA - Regentova, Emma; Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, Las Vegas, NV 89154, USA
Formato: |
info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion |
Enlaces: |
In this paper, a method is presented that employs independent component analysis (ICA) for detecting the microcalcifications (MC) in digital mammograms. ICA is used to estimate unknown, statistically independent sources which form the regions of interest (ROIs) in digital mammograms…
|
Fecha: |
2008-07-25 |
Recurso: |
African Journal Of Information & Communication Technology |
|