Paper Info
Title
The Nonsubsampled Contourlet Transform for Enhancement of Microcalcifications in Digital Mammograms
Abstract
Microcalcifications detection plays a crucial role in the early detection of breast cancer. The enhancement of the mammographic images is one of the most important tasks during the detection process. This paper presents an algorithm for the enhancement of microcalcifications in digital mammograms. The main novelty is the application of the nonsubsampled contourlet transform and a specific edge filter to enhance the directional structures of the image in the contourlet domain. The inverse contourlet transform is applied to recover an approximation of the mammogram with the microcalcifications enhanced. Results show that the proposed method outperforms the current method based on the discrete wavelet transform.
Year
DOI
Venue
2009
10.1007/978-3-642-05258-3_26
MICAI
Keywords
Field
DocType
breast cancer,discrete wavelet transform
Early detection,Computer vision,Pattern recognition,Computer science,Digital mammogram,Artificial intelligence,Discrete wavelet transform,Novelty,Laplacian pyramid,Contourlet
Conference
Volume
ISSN
Citations 
5845
0302-9743
1
PageRank 
References 
Authors
0.45
11
5
Name
Order
Citations
PageRank
José Manuel Mejía Muñoz142.20
Humberto de Jesús Ochoa Domínguez2234.82
Osslan Vergara3152.54
Vianey Guadalupe Cruz Sánchez4277.24
Leticia Ortega Máynez5183.96