Paper Info
Title
Computerized analysis of mammographic parenchymal patterns using fractal analysis
Abstract
Mammographic parenchymal patterns have been shown to be associated with breast cancer risk. Fractal-based texture analyses, including box-counting methods and Minkowski dimension, were performed within parenchymal regions of normal mammograms of BRCA1/BRCA2 gene mutation carriers and within those of women at low risk for developing breast cancer. Receiver Operating Characteristic (ROC) analysis was used to assess the performance of the computerized radiographic markers in the task of distinguishing between high and low-risk subjects. A multifractal phenomenon was observed with the fractal analyses; The high frequency component of fractal dimension from the conventional box-counting technique yielded an Az value of 0.84 in differentiating between two groups, while using the LDA to estimate the fractal dimension yielded an Az value of 0.91 for the high frequency component. An Az value of 0.82 was obtained with fractal dimensions extracted using the Minkowski algorithm.
Year
DOI
Venue
2003
10.1117/12.481359
Proceedings of SPIE
Keywords
Field
DocType
image analysis,risk assessment,texture analysis,mammographic parenchymal patterns
Fractal analysis,Mammography,Receiver operating characteristic,Minkowski–Bouligand dimension,Breast cancer,Fractal dimension,Pattern recognition,Fractal,Artificial intelligence,Statistics,Multifractal system,Mathematics
Conference
Volume
ISSN
Citations 
5032
0277-786X
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Hui Li14515.48
Maryellen L. Giger239385.89
Z Huo3388.69
Olufunmilayo I. Olopade4427.46
Michael R Chinander5315.99
Li Lan66918.36
ioana r bonta7162.85