Title
Automatic Classification of Mammographic Masses by ROI Cross Sectional Intensity Profile Analysis
Abstract
Breast cancer represents the leading cause of fatality among cancers for women and there is still no known way of preventing this pathology. Computer aided analysis systems could be very helpful to improve both the sensitivity and the specificity. In this paper, a computer aided diagnosis system for malignant/benign masses classification of ROI in mammograms based on wavelet transform decomposition and artificial neural network (ANN) classifier is shown. The train novelty of the system is to consider only small ID signals crossing the abnormal region, allowing to drastically reduce the amount of data to be processed. An experimental analysis performed on a set of images from DDSM database has shown the effectiveness of the proposed method.
Year
Venue
Keywords
2005
METMBS '05: Proceedings of the 2005 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences
computer aided diagnosis,wavelet transform,artificial neural network,medical image processing,pattern recognition
Field
DocType
Citations 
Pattern recognition,Profile analysis,Computer science,Artificial intelligence
Conference
0
PageRank 
References 
Authors
0.34
1
5
Name
Order
Citations
PageRank
Matteo Fraschini1488.40
Michael Wirth27111.34
Romina Vargiu300.34
Antonella Balestrieri4121.64
Luigi Barberini501.01