Adaptive microcalcification detection in computer aided diagnosis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3039, Issue , 2004, Pages 1110-1117

  Kang, Ho Kyung ^a   Kim, Sung Min ^b   Thanh, Nguyen N ^a   Ro, Yong Man ^a   Kim, Won Ha ^c  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Konkuk University School of Medicine   (South Korea)

^c Kyung Hee University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CALCIFICATION (BIOCHEMISTRY); MAMMOGRAPHY;

EARLY BREAST CANCER; FILTER PARAMETER; HOMOMORPHIC FILTERING; MAMMOGRAM ENHANCEMENT; MAMMOGRAPHY CADS; MICROCALCIFICATION DETECTION; NOISY ENVIRONMENT; OPERATION CHARACTERISTIC;

COMPUTER AIDED DIAGNOSIS;

EID: 35048826720     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-25944-2_144     Document Type: Article

References (11)

1. Johns, P. C., Yaffe, M. J.: X-ray characterization of normal and neoplastic breast tissues. Physics in Medicine and Biology. 32(6) (1987) 675-695
2. ACR National Mammography Database(NMD) http://www.acr.org/
3. Laine, A., Fan, J., Yang, W.: Wavelets for contrast enhancement of digital mammography. IEEE Engineering in Medicine and Biology Magazine 145 (1995) 536-550
4. Yoon, J. H., Ro, Y. M.: Enhancement of the contrast in mammographic images using the homomorphic filter method. IEICE Transactions on Information and Systems 85-D(1) (2002)291-297
5. Karssemeijer, N.: A stochastic model for automated detection of calcifications in digital mammograms. Proc. 12th Int. Conf. Information Processing Medical Imaging (1991) 227-238
6. Strickland, R. N., Hahn, H. I.: Wavelet transform for detecting microcalcifications in mammograms. IEEE Trans. Med. Imag. 15 (1996) 218-229
7. Yu, S., Guan, L.: A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram film. IEEE Trans. Med. Imag. 19(2) (1998) 115-126
8. Sakellaropoulos, P., Costaridou, L., Panayiotakis, G.: A wavelet-based spatially adaptive method for mammographic contrast enhancement. Physics in Medicine and Biology 48 (2003) 787-803
9. Chang, S. G., Yu, B., Vetterli, M.: Adaptive wavelet thresholding for image denoising and compression. IEEE Trans. Image Processing 9(9) (2000) 1532-1546
10. Zheng, B., Qian, W., Clarke, L. P.: Digital mammography: Mixed feature neural net-work with spectral entropy decision for detection of microcalcifications. IEEE Trans. Med. Imag. 15 (1996) 589-597
11. Yoshida, H., Zhang, W., Cai, W., Doi, K., Nishikawa, R. M., Giger, M. L.: Optimizing wavelet transform based on supervised learning for detection of microcalcifications in digi-tal mammograms. Proc. IEEE ICIP 3 (1995) 152-155