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Using the method of adaptive kernel learning based relevance vector machine (ARVM) and combining the morphological filtering and the clustering criterion recommended by Kallergi, a new algorithm for microcalcification (MC) clusters processing in mammograms is investigated. Firstly, the detection of MC is formulated as a supervised-learning problem. Then the ARVM is used as a classifier to determine whether an MC object is present at each location in the mammogram and a morphological processing is used to remove the isolated spurious pixels. Finally, the identified MC clusters are obtained by Kallergi criterion. To improve the computational speed, a fast processing method based on ARVM is developed, in which the whole image is decomposed first into sub-image blocks for parallel operation. Experimental results indicate that the ARVM method outperforms the RVM method and, in particular, the fast processing method could greatly reduce the testing time.
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Keywords:
- mammogram /
- microcalcification cluster /
- relevance vector machine /
- adaptive kernel learning
[1] Ahmed M H, Magda E 2011 IEEE Reviws in Biomedical Engineering 4 103
[2] Zhang X S, Gao X B, Wang Y, Zhang S J 2010 J. Infrared Millim Waves 29 27 (in Chinese) [张新生, 高新波, 王颖, 张士杰 2010 红外与毫米波学报 29 27]
[3] Liu G D, Zhang Y R 2011 Acta Phys. Sin. 60 074303 (in Chinese) [刘广东, 张业荣 2011 物理学报 60 074303]
[4] Xiang L Z, Xing D, Guo H, Yang S H 2009 Acta Phys. Sin. 58 4610 (in Chinese) [向良忠, 邢达, 郭华, 杨思华 2009 物理学报 58 4610]
[5] Zhang H 2004 Acta Phys. Sin. 53 2515 (in Chinese) [张航 2004 物理学报 53 2515]
[6] Xu X H, Li H 2008 Acta Phys. Sin. 57 4623 (in Chinese) [徐晓辉, 李晖 2008 物理学报 57 4623]
[7] Xiao X, Xu L, Liu B Y 2013 Acta Phys. Sin. 62 044105 (in Chinese) [肖夏, 徐立, 刘冰雨 2013 物理学报 62 044105]
[8] Che L L, Zhang G Y, Song L, Cao W F 2011 Chin. J. Med. Phys. 28 2467 (in Chinese) [车琳琳, 张光玉, 宋莉, 曹卫芳 2011中国医学物理学杂志 28 2467]
[9] Tang J, Rangayyan R M, Xu J, Naqa I El, Yang Y Y 2009 IEEE Trans. Inform. Technol. Biomed. 13 236
[10] Jing H, Yang Y Y, Nishikawa R M 2011 Phys. Med. Biol. 56 1
[11] Jiang J, Yao B, Wason A M 2007 Comput. Med. Imag. Graph. 31 49
[12] Naqa I E, Yang Y Y, Wernick M N, Galatsanos N P, Nishikawa R M 2002 IEEE Trans. Med. Imag. 21 1552
[13] Wei L, Yang Y Y, Nishikawa R M, Wernick M N, Edwards A 2005 IEEE Trans. Med. Imag. 24 1278
[14] Tzikas D G, Likas A C, Galatsanos N P 2009 IEEE Trans. Neural Networks 20 926
[15] Tipping M, Faul A 2003 Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics Key West, USA, January 3-6, 2003 p1
[16] Kallergi M, Carney G M, Gaviria J 1999 Med. Phys. 26 267
[17] Muller K R, Mika S, Ratsch G, Tsuda K, Scholkopf B 2001 IEEE Trans. Neural Networks 12 181
[18] Bunch P C, Hamilton J F, Sanderson G K, Simmons A H 1978 J. Appl. Photogr. Eng. 4 166
[19] Samuelson F W, Petrick N 2006 Proceedings of 3rd IEEE International Symposium On Biodedical Imaging Arlington, USA, April 4-6, 2006 p1312
[20] Xing H Y, Qi Z D, Xu W 2012 Acta Phys. Sin. 61 240504 (in Chinese) [行鸿彦, 祁峥东, 徐伟 2012 物理学报 61 240504]
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[1] Ahmed M H, Magda E 2011 IEEE Reviws in Biomedical Engineering 4 103
[2] Zhang X S, Gao X B, Wang Y, Zhang S J 2010 J. Infrared Millim Waves 29 27 (in Chinese) [张新生, 高新波, 王颖, 张士杰 2010 红外与毫米波学报 29 27]
[3] Liu G D, Zhang Y R 2011 Acta Phys. Sin. 60 074303 (in Chinese) [刘广东, 张业荣 2011 物理学报 60 074303]
[4] Xiang L Z, Xing D, Guo H, Yang S H 2009 Acta Phys. Sin. 58 4610 (in Chinese) [向良忠, 邢达, 郭华, 杨思华 2009 物理学报 58 4610]
[5] Zhang H 2004 Acta Phys. Sin. 53 2515 (in Chinese) [张航 2004 物理学报 53 2515]
[6] Xu X H, Li H 2008 Acta Phys. Sin. 57 4623 (in Chinese) [徐晓辉, 李晖 2008 物理学报 57 4623]
[7] Xiao X, Xu L, Liu B Y 2013 Acta Phys. Sin. 62 044105 (in Chinese) [肖夏, 徐立, 刘冰雨 2013 物理学报 62 044105]
[8] Che L L, Zhang G Y, Song L, Cao W F 2011 Chin. J. Med. Phys. 28 2467 (in Chinese) [车琳琳, 张光玉, 宋莉, 曹卫芳 2011中国医学物理学杂志 28 2467]
[9] Tang J, Rangayyan R M, Xu J, Naqa I El, Yang Y Y 2009 IEEE Trans. Inform. Technol. Biomed. 13 236
[10] Jing H, Yang Y Y, Nishikawa R M 2011 Phys. Med. Biol. 56 1
[11] Jiang J, Yao B, Wason A M 2007 Comput. Med. Imag. Graph. 31 49
[12] Naqa I E, Yang Y Y, Wernick M N, Galatsanos N P, Nishikawa R M 2002 IEEE Trans. Med. Imag. 21 1552
[13] Wei L, Yang Y Y, Nishikawa R M, Wernick M N, Edwards A 2005 IEEE Trans. Med. Imag. 24 1278
[14] Tzikas D G, Likas A C, Galatsanos N P 2009 IEEE Trans. Neural Networks 20 926
[15] Tipping M, Faul A 2003 Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics Key West, USA, January 3-6, 2003 p1
[16] Kallergi M, Carney G M, Gaviria J 1999 Med. Phys. 26 267
[17] Muller K R, Mika S, Ratsch G, Tsuda K, Scholkopf B 2001 IEEE Trans. Neural Networks 12 181
[18] Bunch P C, Hamilton J F, Sanderson G K, Simmons A H 1978 J. Appl. Photogr. Eng. 4 166
[19] Samuelson F W, Petrick N 2006 Proceedings of 3rd IEEE International Symposium On Biodedical Imaging Arlington, USA, April 4-6, 2006 p1312
[20] Xing H Y, Qi Z D, Xu W 2012 Acta Phys. Sin. 61 240504 (in Chinese) [行鸿彦, 祁峥东, 徐伟 2012 物理学报 61 240504]
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