Breast lesions classification using modified non-recursive discrete biorthogonal wavelet transform

Conference Proceedings - IEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007

Volumn , Issue , 2007, Pages 223-226

  Lee, Hsieh Wei ^a   Lei, Sheau Fang ^a   Hung, King Chu ^b   Liu, Bin Da ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

Author keywords

Breast lesion classification; Feature efficacy; Morphometric parameter; Non recursive DBWT (NRDBWT)

Indexed keywords

BIORTHOGONAL WAVELET TRANSFORMS; BREAST LESION; COMBINED FEATURES; FEATURE EFFICACY; LOCAL VARIANCE; MORPHOMETRIC PARAMETERS; NON-RECURSIVE DBWT (NRDBWT); ULTRASOUND IMAGES; WAVELET-BASED FEATURE;

COMPUTER AIDED DIAGNOSIS; IMAGE ENHANCEMENT;

WAVELET TRANSFORMS;

EID: 62349102516     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIOCAS.2007.4463349     Document Type: Conference Paper

References (9)

1. A. T. Stavros, D. Thickman, C. L. Rapp, M. A. Dennis, S. H. Parker, and G. A. Sisney, "Solid breast nodules: use of sonography to distinguish between benign and malignant lesions," Radiology, vol. 196, pp. 123-134, July 1995.
2. S. Gefen, O. J. Tretiak, C. W. Piccoli, K. D. Donohue, A. P. Petropulu, P. M. Shankar, V. A. Dumane, L. Huang, M. A. Kutay, V. Genis, F. Forsberg. J. M. Reid, and B. B. Goldberg, "ROC analysis of ultrasound tissue characterization classifiers for breast cancer diagnosis," IEEE Trans. Med. Imag., vol. 22, no. 2, pp. 170-177, Feb. 2003.
3. Y. Zheng, J. F. Greenleaf, and J. J. Gisvold, "Reduction of breast biopsies with a modified self-organizing map," IEEE Trans. Neural Networks, vol. 8, no. 6, pp.1386-1396, Nov. 1997.
4. th Annual Int. Conf. of the IEEE Eng. in Med. and Biol., Oct. 1998, pp.1356-1359.
5. A. V. Alvarenga, W. C. A. Pereira, A. F. C. Infantosi, and C. M. de Azevedo, "Classification of breast tumours on ultrasound images using morphometric parameters," in Proc. IEEE Int. Symp. on Intell. Signal Processing, 1-3 Sept. 2005, pp. 206-210.
6. A. Madabhushi and D. N. Metaxas, "Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions," IEEE Trans. Med. Imag., vol. 22, no. 2, pp. 155-169, Feb. 2003.
7. C. K. Abbey, R. J. Zemp, J. Liu, K. K. Lindfors, and M. F. Insana, "Observer efficiency in discrimination tasks simulating malignant and benign breast lesions imaged with ultrasound," IEEE Trans. Med. Imag., vol. 25, no. 2, pp. 198-209, Feb. 2006.
8. K. C. Hung, "The generalized uniqueness wavelet descriptor for planar closed curves", IEEE Trans. Image Processing, vol. 9, pp. 834-845, May 2000.
9. M. Nadler and E. P. Smith, Pattern Recognition Engineering. New York: Wiley-Interscience, 1993.