Application of Gabor wavelet and Locality Sensitive DiscriminantAnalysis for automated identification of breast cancer using digitized mammogram images

Raghavendra, U and Acharya, Rajendra U and Fujita, Hamido and Gudigar, Anjan and Tan, Jen Hong and Chokkadi, Shreesha (2016) Application of Gabor wavelet and Locality Sensitive DiscriminantAnalysis for automated identification of breast cancer using digitized mammogram images. Applied Soft Computing, 46. pp. 151-161. ISSN 1568-4946

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Abstract

Breast cancer is one of the prime causes of death in women. Early detection may help to improve thesurvival rate to a great extent. Mammography is considered as one of the most reliable methods to pre-screen of breast cancer. However, reading the mammograms by radiologists is laborious, taxing, andprone to intra/inter observer variability errors. Computer Aided Diagnosis (CAD) helps to obtain fast,consistent and reliable diagnosis. This paper presents an automated classification of normal, benign andmalignant breast cancer using digitized mammogram images. The proposed method used Gabor waveletfor feature extraction and Locality Sensitive Discriminant Analysis (LSDA) for data reduction. The reducedfeatures are ranked using their F-values and fed to Decision Tree (DT), Linear Discriminant Analysis (LDA)and Quadratic Discriminant Analysis (QDA), k-Nearest Neighbor (k-NN), Naïve Bayes Classifier (NBC),Probabilistic Neural Network (PNN), Support Vector Machine (SVM), AdaBoost and Fuzzy Sugeno (FSC)classifiers one by one to select the highest performing classifier using minimum number of features.The proposed method is evaluated using 690 mammogram images taken from a benchmarked Digi-tal Database for Screening Mammography (DDSM) dataset. Our developed method has achieved meanaccuracy, sensitivity, specificity of 98.69%, 99.34% and 98.26% respectively for k-NN classifier using eightfeatures with 10-fold cross validation. This system can be employed in hospitals and polyclinics to aidthe clinicians to cross verify their manual diagnosis.

Item Type: Article
Uncontrolled Keywords: Gabor waveletLSDAInterclass variationDDSMMammographyCAD toola
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 02 Jun 2016 15:01
Last Modified: 02 Jun 2016 15:01
URI: http://eprints.manipal.edu/id/eprint/146276

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