Paper Info
Title
Accurate Breast Region Detection in Digital Mammograms Using a Local Adaptive Thresholding Method
Abstract
Recently Computer Aided Diagnosis (CAD) systems have improved diagnosis of abnormalities in mammogram images. To improve the accuracy and reliability of such systems, the exact breast region as the region of interest (ROI), has to be segmented. Furthermore, focus on ROI can eliminates the effect of image background noise. Consequently it can reduce the detection algorithms execution time. Also, the accurate breast region detection ends to the accurate breast border detection, which can improve clinical diagnosis of abnormalities. Currently, new methods have been presented that achieve the accurate breast border detection. Nevertheless most of these methods are complicated and have undesirable effects on the execution time. In this paper we proposed a novel approach for accurate breast region segmentation in digital mammograms based on local thresholds. The suggested method can extract the breast region accurately.
Year
DOI
Venue
2007
10.1109/WIAMIS.2007.15
Santorini
Keywords
Field
DocType
image background noise,execution time,accurate breast region detection,digital mammograms,accurate breast region segmentation,local adaptive thresholding method,clinical diagnosis,accurate breast border detection,exact breast region,breast region,detection algorithms execution time,region of interest,adaptive signal processing,polynomials,image,image segmentation,segmentation,image analysis,histograms
Mammography,Computer vision,Histogram,Pattern recognition,Computer science,Segmentation,Computer-aided diagnosis,Image segmentation,Artificial intelligence,Adaptive filter,Thresholding,Region of interest
Conference
ISBN
Citations 
PageRank 
0-7695-2818-X
5
0.45
References 
Authors
2
4
Name
Order
Citations
PageRank
Maysam B. K. Shahedi150.45
Rassoul Amirfattahi2506.03
Farah Torkamani Azar350.45
Saeed Sadri413611.28