Email this article Premature Breast Cancer Mammographic Detection Using Image Segmentation Approaches
Abstract
In the current era digital image processing occupies a dynamic role in every aspect of human survival. Image processing refers to progress digital images and mined attributes from images. In this paper we describe the experimental testing ofMammographic approach based on research towards early breast cancer detection. The main objective is to detect breast cancer using computer aided automated detection scheme. We extracted variables from previous papers and refined the important variables for experiment then apply different samples of images to acquired using Mammographyimages.
References
Xavier Castells Eduard MolinsFrancescMacià (2006). Journal of epidemiology and community health, 60, 316–321.
Hubbard W.-K, R. A., & Chen et al (1993). Cumulative probability of false-positive recall or biopsy recommendation after 10 years of screening mammography (Hubbard W.-K & , 1993).
H. Gilbert Welch Honor J. Passow (2014). Quantifying the benefits and harms of screening mammography. JAMA internal medicine, 174, 448–454.
Paul M. Meaney et al (2000). A clinical prototype for active microwave imaging of the breast. Microwave Theory and Techniques IEEE Transactions, 48, 1841–1853.
Jing-song Hong, M. H. B., &Deedar Ali Jamro (2015). UWB antenna design and implementation for microwave medical imaging application. Communication Software and Networks (ICCSN)
Arslan Brian Flynn, H. Z. T. (2013). Microwave imaging of a realistic cancerous phantom using an ultra-wideband antenna transceiver system. Antennas and Propagation Conference (LAPC)
Marco ChiappeGian Luigi Gragnani (2002). Vivaldi antennas for microwave imaging. Theoretical analysis and design considerations, 55 no. 6, 1885–1891.
Peng Fei et al (2011). A miniaturized antipodal Vivaldi antenna with improved radiation characteristics. Antennas and Wireless Propagation Letters IEEE, vol. 10, 127–130.
Rohit Chandra IlangkoBalasingham (2015). Detection of brain tumor and localization of a deep brain RF-source using microwave imaging. Antennas and Propagation (EuCAP) 2015 9th European Conference
Mohammed et al, B. J. (2014). Microwave system for head imaging. Instrumentation and Measurement IEEE Transactions, vol. 63 no,1, pp. 117–123.
Haoyu Zhang et al (2012). Microwave imaging for brain tumour detection using an UWB Vivaldi Antenna array. Antennas and Propagation Conference (LAPC) 2012
Arslan Brian Flynn, H. Z. T. (2013). Wavelet de-noising based microwave imaging for brain cancer detection. Antennas and Propagation Conference (LAPC) 2013
Jones Mary T. Anita (2014). Design of Vivaldi antenna for brain cancer detection. Electronics and Communication Systems (ICECS) 2014 International Conference
L. Teixeira,
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