Detection of microcalcification clusters in digital mammograms using Multiresolution based foveal algorithm

Proceedings of the 2011 World Congress on Information and Communication Technologies, WICT 2011

Volumn , Issue , 2011, Pages 657-660

  Balakumaran, T ^a   Vennila, Ila ^b  

^a Department of Artificial Intelligence and Machine Learning   (India)

^b PSG COLLEGE OF TECHNOLOGY   (India)

Author keywords

Computer Aided Diagnosis (CAD); foveal algorithm; Microcalcification detection; skewness and kurtosis

Indexed keywords

BREAST CANCER; DIAGNOSTIC ACCURACY; DIAGNOSTIC TECHNIQUES; DIGITAL MAMMOGRAMS; DIGITIZED MAMMOGRAMS; EARLY DETECTION; MICROCALCIFICATION CLUSTERS; MICROCALCIFICATION DETECTION; MICROCALCIFICATIONS; MULTI-RESOLUTIONS; SKEWNESS AND KURTOSIS; SUB-BANDS; SURVIVAL RATE;

ALGORITHMS; CALCIFICATION (BIOCHEMISTRY); COMPUTER AIDED DIAGNOSIS; DISEASES; INFORMATION TECHNOLOGY; STATISTICAL METHODS; WAVELET DECOMPOSITION; X RAY SCREENS;

MAMMOGRAPHY;

EID: 84857159344     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WICT.2011.6141323     Document Type: Conference Paper

References (11)

1. Nakayama, R. Uchiyama, Y. Yamamoto, K. Watanabe, R. Namba, K, "Computer-aided diagnosis scheme using a filter bank for detection of microcalcification clusters in mammograms", IEEE Transactions on Biomedical Engineering, vol 53. No.2,p.273-283,Feb 2006 (Pubitemid 43162416)
2. R. G. Bird, T. W. Wallace, and B. C. Yankaskas, "Analysis of cancers missed at screening mammography," Radiology, vol. 184, pp. 613-617,1992
3. L. Wei, Y. Yang, R. M. Nishikawa, M. N. Wernick and A. Edwards, "Relevance Vector Machine for Automatic Detection of Clustered Microcalcifications," IEEE Trans. Medical Imaging, vol. 24, no.10, pp. 1278-1285, 2005 (Pubitemid 41463566)
4. A.F. Laine, S. Schuler, J. Fan, and W. Huda, "Mammographic feature enhancement by multiscale analysis," IEEE Trans. Med. Imag., vol. 13, no. 4, pp.725-740, Dec. 1994.
5. H. Yoshida, K. Doi, R. M. Nishikawa, M. L. Giger, and R. A. Schmidt, "An improved computer- Assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms," Acad. Radiol., vol. 3, pp. 621-627,1996
6. J. Scharcanski and C. R. Jung, "Denoising and enhancing digital mammographic images for visual screening," Comput. Med. Imaging Graph., vol. 30,no. 4, pp. 243-254, 2006 (Pubitemid 44109957)
7. Karahaliou, S. Skiadopoulos, I. Boniatis, P. Sakellaropoulos, E. Likaki,G. Panayiotakis, and L. Costaridou, "Texture analysis of tissue Surrounding microcalcifications on mammograms for breast cancer diagnosis," Br.J. Radiol., vol. 80, no. 956, pp. 648-656, 2007.
8. Ping Zhang, Kwabena Agyepong, "Wavelet-based Fractal Feature Extraction for Microcalcification Detection in Mammograms", Proceedings of the IEEE SoutheastCon 2010, March 2010.
9. Nawazish Naveed, Tae-Sun Choi M and ArfanJaffar," Malignancy and abnormality detection of mammograms using DWT features and ensembling of classifiers", International Journal of the Physical Sciences, Vol. 6(8), pp. 2107-2116, April 2011
10. Heucke, L.,M.Knaak, andR.Orglmeister, "A Newimage segmentation method based on human brightness perception and foveal adaptation", IEEE Signal Processing Letters 7 (6), p. 129-131,2000
11. C.E.Metz, "Some practical issues of experimental design and data analysis in radiological ROC studies," Invest. Radiol., vol. 24, no. 3, pp. 234-245, Mar. 1989