Computer-aided classification of breast masses in mammogram images based on spherical wavelet transform and support vector machines

Author:

Görgel Pelin1,Sertbas Ahmet1,Uçan Osman Nuri2

Affiliation:

1. Department of Computer Engineering; Faculty of Engineering; Istanbul University (IU); Istanbul Turkey

2. Department of Electrical Engineering; Faculty of Engineering; Istanbul Aydin University (IAU); Istanbul Turkey

Funder

University of Istanbul

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference45 articles.

1. A multistage neural network aided system for detection of microcalcifications in digitized mammograms;Pal;Neurocomputing,2008

2. A wavelet based mammographic image denoising and enhancement with homomorphic filtering;Görgel;Journal of Medical Systems,2010

3. Breast cancer diagnosis in digital mammogram using multiscale curvelet transform;Eltoukhy;Computerized Medical Imaging and Graphics,2010

4. Breast cancer diagnosis: analyzing texture of tissue surrounding microcalcifications;Karahaliou;IEEE Transactions on Information Technology in Biomedicine,2008

5. Classification of breast tissue images based on wavelet transform using discriminant analysis, neural network and SVM;Hwang;Enterprise networking and Computing in Healthcare Industry, Proceedings of 7th International Workshop on 23-25 June 2005,2005

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