Contourlet Transformed Nakagami Image-based Breast Tumor Classification Using Deep CNN
Author:
Affiliation:
1. Green University of Bangladesh,Dept of Electrical and Electronic Engineering,Bangladesh
2. Bangladesh University of Engineering and Technology,Dept of Electrical and Electronic Engineering,Bangladesh
Funder
Green University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10103226/10103227/10103332.pdf?arnumber=10103332
Reference27 articles.
1. Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution
2. Quantification of elastic heterogeneity using contourlet-based texture analysis in shear-wave elastography for breast tumor classification;zhang;Ultrasound in Medicine and Biology,2014
3. The contourlet transform: an efficient directional multiresolution image representation
4. Classification of scattering media within benign and malignant breast tumours based on ultrasound texture-feature-based and Nakagami-parameter images;liao;Journal of Medical Physics,2011
5. Shearlet-based texture feature extraction for classification of breast tumor in ultrasound image
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