NDLI: Screening mammogram images for abnormalities using radial basis Function Neural Network

Content Provider	IEEE Xplore Digital Library
Author	Dheeba, J. Tamil Selvi, S.
Copyright Year	2010
Description	Author affiliation: Dept. of Computer Science and Engineering, Anna University, Tirunelveli, TN, India (Dheeba, J.; Tamil Selvi, S.)
Abstract	Intelligent Computer Aided Diagnosis (CAD) Systems can be used for detecting Microcalcification (MC) clusters in digital mammograms at the early stage. CAD systems help radiologists in identifying tumor patterns in an efficient and faster manner than other detection methods. In this paper, we propose a new approach for detecting tumors in mammograms using Radial Basis Function Networks (RBFNN). Prior to the detection of MC clusters features from the image are extracted and analyzed. Gabor features are extracted from the image Region of Interest (ROI) to distinguish a tumor cluster and a normal breast tissue. Once the features are extracted, they are given as input to the supervised RBFNN. The output neuron determines whether the given input ROI is cancer tissue or not. We have verified the algorithm with 322 mammograms in the Mammographic Image Analysis Society Database (MIAS). The results shows that the proposed algorithm has a sensitivity of 85.2%.
Starting Page	554
Ending Page	559
File Size	158217
Page Count	6
File Format	PDF
ISBN	9781424477692
e-ISBN	9781424477708
DOI	10.1109/ICCCCT.2010.5670778
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Microcalcification Computer Aided Diagnosis Classification algorithms Radial Basis Function Neural Network Integer wavelet transform (IWT) Gabor features Databases Mammograms Breast Feature extraction Gabor filters Pixel Cancer
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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