Sparse Representation for Detection of Microcalcification Clusters
Cheng H, Cai X, Chen X, Hu L, Lou X. Computer-aided detection and classification of microcalcifications in mammograms: a survey. Pattern Recognition. 2003; 36(12): 2967-2991.
Marrocco C, Molinara M, D'Elia C, Tortorella F. A computer-aided detection system for clustered microcalcifications. Artificial Intelligence in Medicine. 2010; 50(1): 23-32.
Bagci AM, Cetin AE. Detection of microcalcifications in mammograms using local maxima and adaptive wavelet transform analysis. Electronics Letters. 2002; 38(22): 1311-1313.
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. 2006; 53(2): 273-283.
Halkiotis S, Botsis T, Rangoussi M. Automatic detection of clustered microcalcifications in digital mammograms using mathematical morphology and neural networks. Signal Processing. 2007; 87(7): 1559-1568.
Bocchi L, Coppini G, Nori J, Valli G. Detection of single and clustered microcalcifications in mammograms using fractals models and neural networks. Medical Engineering & Physics. 2004; 26(4): 303-312.
Gulsrud TO, Husoy JH. Optimal filter-based detection of microcalcifications. IEEE Transactions on Biomedical Engineering. 2001; 48(11): 1272-1281.
Riyahi-Alam N, Ahmadian A, Tehrani JN, Guiti M, Oghabian MA, Deldari A, editors. Segmentation of suspicious clustered microcalcifications on digital mammograms: using fuzzy logic and wavelet coefficients. Proc IEEE Int'l Conf Signal Processing( ICSP '04); 2004.
Cheng H, Wang J, Shi X. Microcalcification detection using fuzzy logic and scale space approaches. Pattern Recognition. 2004; 37(2): 363-375.
Mohanalin, Beenamol, Kalra PK, Kumar N. A novel automatic microcalcification detection technique using Tsallis entropy & a type II fuzzy index. Computers & Mathematics with Applications. 2010; 60(8): 2426-2432.
Lee GG, Chen CH, editors. A multiresolution wavelet analysis and Gaussian Markov random field algorithm for breast cancer screening of digital mammography. Proc IEEE Int'l Conf Nuclear Science Symposium; 1996.
D'Elia C, Marrocco C, Molinara M, Poggi G, Scarpa G, Tortorella F, editors. Detection of microcalcifications clusters in mammograms through TS-MRF segmentation and SVM-based classification. Proc IEEE Int'l Conf Pattern Recognition( ICPR 2004). Cambridge, England. 2004.
Yu S, Guan L. A CAD system for the automatic detection of clustered microcalcification in digitized mammogram films. IEEE Transactions on Medical Imaging. 2000; 19(2): 115-126.
Jiang J, Trundle P, Ren J. Medical image analysis with artificial neural networks. Computerized Medical Imaging and Graphics. 2010; 34(8): 617-631.
El-Naqa I, Yongyi Y, Wernick MN, Galatsanos NP, Nishikawa RM. A support vector machine approach for detection of microcalcifications. IEEE Transactions on Medical Imaging. 2002; 21(12): 1552-1563.
Wei L, Yang Y, Nishikawa RM, Jiang Y. A study on several Machine-learning methods for classification of Malignant and benign clustered microcalcifications. IEEE Transactions on Medical Imaging. 2005; 24(3): 371-380.
Gupta M, Kumar R, Gupta RA. Neural Network Based Indexing and Recognition of Power Quality Disturbances. TELKOMNIKA. 2011; 9(2): 227-236.
Yuniarti A, Nugroho AS, Amaliah B, Arifin AZ. Classification and numbering of dental radiographs for an automated human identification system. TELKOMNIKA. 2012; 10(1): 137-146.
Agarwal S, Awan A, Roth D. Learning to detect objects in images via a sparse, part-based representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2004; 26(11): 1475-1490.
Wright J, Yang AY, Ganesh A, Sastry SS, Ma Y. Robust face recognition via sparse representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2008: 210-227.
Swastika W, Haneishi H. Compressed sensing for thoracic MRI with partial random circulant matrices. Telkomnika. 2012; 10(1): 147-154.
Kim SJ, Koh K, Lustig M, Boyd S, Gorinevsky D. An interior-point method for large-scale l1-regularized least squares. IEEE Journal of Selected Topics in Signal Processing. 2007; 1(4): 606-617.
Jiang J, Yao B, Wason A. A genetic algorithm design for microcalcification detection and classification in digital mammograms. Computerized Medical Imaging and Graphics. 2007; 31(1): 49-61.
Papadopoulos A, Fotiadis DI, Likas A. Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines. Artificial Intelligence in Medicine. 2005; 34(2): 141-150.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120
Fax: +62 274 564604