vioft2nntf2t|tblJournal|Abstract_paper|0xf4ffa24716000000d059010001000b00 Elastography is the emerging imaging modality that analyzes the stiffness of the tissue for detecting and classifying breast tumors. Computer-aided detection speeds up the diagnostic process of breast cancer improving the survival rate. A multiresolution approach using Discrete wavelet transform is employed on real time images, using the low-low (LL), low-high (LH), high-low (HL), and high-high (HH) sub-bands of Daubechies family. Features are extracted, selected and then finally segmented by K-means clustering algorithm. The proposed work can be extended to Classification of the tumors.
A. Sindhuja1, V. Sadasivam2
Manonmaniam Sundaranar University, India1, PSN College of Engineering and Technology, India2
Image Recognition, Spiking Neuron, FPGA, Artificial Neural Networks, Feature Extraction
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| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 4 , Issue: 4 , Pages: 853-857 )
Date of Publication :
May 2014
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