The week's pick
Random Articles
Reseach Article
Early Breast Cancer Tumor Detection on Mammogram Images
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 87 - Number 14 |
| Year of Publication: 2014 |
| Authors: Naishil N. Shah, Tushar V. Ratanpara, C. K. Bhensdadia |
10.5120/15275-3871
|
Naishil N. Shah, Tushar V. Ratanpara, C. K. Bhensdadia . Early Breast Cancer Tumor Detection on Mammogram Images. International Journal of Computer Applications. 87, 14 ( February 2014), 14-18. DOI=10.5120/15275-3871
Abstract
This paper describes a system that enhances the mammogram to detect the possible lesion or tumor. First the pre-processing task is performed on the mammogram. The pre-processing phase has been sub divided into 4 parts to get the Region of interest and remove the external factors that affect the system in obtaining the possible lesion. Then the segmentation process is performed on the mammogram to get only those portions of the image which are greater than a particular predefined threshold value. After segmentation the edge detection process is performed on this segmented mammogram to display edges over masses. Morphological filtering is done to get masses highlighted with a border. Out of these masses the maximum probable mass that could be a lesion/tumor is highlighted. Finally this mass detected clear border mammogram image is superimposed over the original mammogram to enhance the mass from the mammogram.
References
- Spandana p, Rao, K. M. M. , Rao, B. V. V. S. N. , and Jwalasrikala J. 2013 "Novel image processing techniques for early detection of breast cancer, mat lab and lab view implementation. " Date of Conference: 16-18 Jan. 2013, Bangalore, India, Pages 105 - 108.
- Woo Kyung Moon, Yi-Wei Shen, Min Sun Bae and Chiun-Sheng Huangand. 2013 "Computer-Aided Tumor Detection Based on Multi-Scale Blob Detection Algorithm in Automated Breast Ultrasound Images. " Date of Conference: 27 June 2013, Medical Imaging, IEEE Transactions on (Volume: 32, Issue: 7), Pages 1191 - 1200.
- Bozek J Mustra, M. and Grgic M. 2009 "A survey of mammographic image processing algorithms for bilateral asymmetry detection. " Date of Conference: 28-30 Sept. 2009, ELMAR, 2009. ELMAR '09. International Sympo-sium, Pages 9 - 14.
- Cahoon, T. C Sutton, M. A and Bezdek, J. C. 2000 "Breast cancer detection using image processing techniques. " Date of Conference: 2000, Fuzzy Systems, 2000. The Ninth IEEE International Conference on (Volume: 2), Pages 973 - 976 vol. 2.
- Kyoung-Mi Lee. 2003 "An adaptive resource-allocating network for automated detection, segmentation, and clas-sification of breast cancer nuclei topic area: image pro-cessing and recognition. " Date of Conference: 28-30 Sept. 2009, Neural Networks, IEEE Transactions on (Volume: 14, Issue: 3), Pages 680 - 687.
- Mencattini A, Salmeri M. , Lojacono R. , Frigerio M. and Caselli F. 2008 "Mammographic Images Enhancement and Denoising for Breast Cancer Detection Using Dyadic Wavelet Processing. " Date of Conference: 28 May 2008 (Volume: 57, Issue: 7), Pages 1422 - 1430.
- Vidhya M, Sangeetha, Vimalkumar and Helenprabha K. 2011 "Early stage detection of cancer in mammogram using statistical feature extraction. " Date of Conference: 15-17 Dec. 2011, Advancements in Electrical, Electronics and Control Engineering (ICONRAEeCE), 2011 In-ternational Conference on, Pages 401 - 404.
- Al-Shamlan H and El-Zaart A. 2010 "Feature extraction values for breast cancer mammography images. " Date of Conference: 16-18 April 2010, Bioinformatics and Bio-medical Technology (ICBBT), 2010 International Con-ference on, Pages 335 - 340.
Index Terms
Keywords