Detection of microcalcification clusters based on two mammographic views

Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument

Volumn 30, Issue 1, 2009, Pages 109-114

  Ma, Li ^a   Shan, Yajing ^a  

^a HANGZHOU DIANZI UNIVERSITY   (China)

Author keywords

Feature matching; Microcalcification cluster detection; Multiple mammographic views

Indexed keywords

COMPUTER AIDED ANALYSIS; MAMMOGRAPHY;

CLUSTERED MICROCALCIFICATIONS; COMPUTER AIDED DETECTIONS; DETECTION ALGORITHMS; FALSE POSITIVE RATES; FEATURE MATCHING; JOINT ANALYSIS; MATCHING TECHNIQUES; MICROCALCIFICATION CLUSTER DETECTION; MULTIPLE MAMMOGRAPHIC VIEWS; SIMILARITY FUNCTIONS; SPATIAL INFORMATIONS;

CALCIFICATION (BIOCHEMISTRY);

EID: 63749083911     PISSN: 02543087     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Hamid S Z. Comparison of multiwavelet, wavelet, Haralick and shape features for microcalcification classification in mammograms[J]. Pattern Recognition, 2004, 37: 1973-1986.
2. Bocchi L, Coppini G, Nori J, et al. Detection of single and clustered microcalcifications in mammograms using fractals models and neural networks[J]. Medical Engineering & physics. 2004, 26(4): 303-312.
3. Kavitha K, Kumaravel N. A comparative study of various microcalcification cluster detection methods in digitized mammograms[C]. The 6th EURASI Pconference on speech and image processing, multimedia communications and services. 405-409.
4. Mcgarry C, Deriche M. Modelling mammographic images using fractal Brownian Motion[C]. IEEE TENCON-speech and image technologies for computing and telecommunications, 1997: 299-302.
5. Altricher, Marta, Horvath, et al. The refinement of microcalcification cluster assessment by joint analysis of MLO and CC views[J]. Digital Mammography 8th International Workshop, 2006, 4046: 509-516.
6. Sun X J, Qian W, Song D Sh. Ipsilateral mammogram computer-aided detection of breast cancer[J]. Computerized Medical Imaging and Graphics, 2004, 28: 151-158.
7. Ridler T W, Calvard S. Picture thresholding using an iterative selection method[J]. IEEE Transactions on Systems, Man and Cybernetics, 1978, 8(8): 630-632.
8. Ma L, Shan Y J. Integration of fractal and gray-level features for texture segmentation[C]. proceeding of International congress on image and signal processing, 2008, (3): 687-691.
9. Zhang J, Wang Z H, Wen J. Research on measure system of microdimension image processing and analysis[J]. Chinese Journal of Scientific Instrument, 2001, 22(3): 224-245.
10. Lee S K. A computer-aided design mammography screening system for detection and classification of microcalcifications[J]. International Journal of Medical Informatics, 2000, 60: 29-57.