A novel image mining technique for classification of mammograms using hybrid feature selection-Reference-Cited by-同舟云学术

A novel image mining technique for classification of mammograms using hybrid feature selection

Published:2012-02-23 Issue:6 Volume:22 Page:1151-1161
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Mohanty Aswini Kumar,Senapati Manas Ranjan,Lenka Saroj Kumar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-012-0881-x.pdf

Reference49 articles.

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2. Zaïane OR, Antonie M-L, Coman A (2002) Mammography classification by association rule based classifier. In: MDM/KDD2002 international workshop on multimedia data mining ACM SIGKDD, pp 62–69

3. Xuanyang X, Yuchang G, Shouhong W, Xi L (2005) Computer aided detection of SARS based on radiographs data mining. In: Proceedings of the 2005 IEEE engineering in medicine and biology 27th annual conference, Shanghai, China, pp 7459–7462

4. Chen C, Lee G (1997) Image segmentation using multitiresolution wavelet analysis and expectation maximum (EM) algorithm for mammography. Int J Imaging Syst Technol 8(5):491–504

5. Wang T, Karayaiannis N (1998) Detection of microcalcification in digital mammograms using wavelets. IEEE Trans Med Imaging 17(4):498–509

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