Pectoral muscle segmentation in mammograms based on homogenous texture and intensity deviation

Pattern Recognition

Volumn 46, Issue 3, 2013, Pages 681-691

  Li, Yanfeng ^a   Chen, Houjin ^a   Yang, Yongyi ^b   Yang, Na ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

^b Illinois Institute of Technology   (United States)

Author keywords

Homogeneous texture; Image segmentation; Intensity deviation; Kalman filter; Mammogram; Pectoral muscle

Indexed keywords

ANATOMICAL FEATURES; DIGITAL DATABASE FOR SCREENING MAMMOGRAPHIES; HIGH INTENSITY; INTENSITY DEVIATION; MAMMOGRAM; MAMMOGRAPHIC IMAGE ANALYSIS; PECTORAL MUSCLES;

DATABASE SYSTEMS; IMAGE SEGMENTATION; KALMAN FILTERS; MUSCLE; X RAY SCREENS;

MAMMOGRAPHY;

EID: 84870238931     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2012.09.021     Document Type: Article

References (16)

1. Tang Jinshan, R.M. Rangayyan, Xu Jun, I. El Naqa, and Yang Yongyi Computer-aided detection and diagnosis of breast cancer with mammography: recent advances IEEE Transactions on Information Technology in Biomedicine 13 2 2009 236 251
2. Sze Man Kwok, R. Chandrasekhar, Y. Attikiouzel, and M.T. Rickard Automatic pectoral muscle segmentation on mediolateral oblique view mammogram IEEE Transactions on Medical Imaging 23 9 2004 1129 1140
3. R.J. Ferrari, R.M. Rangayyan, J.E.L. Desautels, R.A. Borges, and A.F. Frere Automatic identification of the pectoral muscle in mammograms IEEE Transactions on Medical Imaging 23 2 2004 232 245
4. F. Ma, M. Bajger, J.P. Slavotinek, and M.J. Bottema Two graph theory based methods for identifying the pectoral muscle in mammograms Pattern Recognition 40 9 2007 2592 2602
5. D. Raba, A. Oliver, J. Marti, M. Peracaula, J. Espunya, Breast segmentation with pectoral muscle suppression on digital mammograms, in: Proceedings of the Iberian Conference on Pattern Recognition and Image Analysis, 2005, pp. 153-158.
6. M. Mustra, J. Bozek, M. Grgic, Breast border extraction and pectoral muscle detection using wavelet decomposition, in: Proceedings of the IEEE EUROCON, 2009, pp. 1428-1435.
7. Wang Lei, Zhu Miao-liang, Deng Li-ping, and Yuan Xin Automatic pectoral muscle boundary detection in mammograms based on Markov chain and active contour model Journal of Zhejiang University: Science C 11 2 2010 111 118
8. K.S. Camilus, V.K. Govindan, and P.S. Sathidevi Computer-aided identification of the pectoral muscle in digitized mammograms Journal of Digital Imaging 23 5 2010 562 580
9. K.S. Camilus, V.K. Govindan, and P.S. Sathidevi Pectoral muscle identification in mammograms Journal of Applied Clinical Medical Physics 12 3 2011 215 230
10. Arthur L. da Cunha, Jianping Zhou, and Minh N. Do The nonsubsampled contourlet transform: theory, design, and applications IEEE Transactions on Image Processing 15 2006 3089 3101
11. C. Fowlkes, S. Belongie, F. Chung, and J. Malik Spectral grouping using the Nystrom method IEEE Transactions on Pattern Analysis and Machine Intelligent 26 2004 214 225
12. H.W. Sorenson Least-squares estimation: from Gauss to Kalman IEEE Spectrum 7 7 1970 63 68
13. 〈http://peipa.essex.ac.uk/ipa/pix/mias/〉
14. 〈http://marathon.csee.usf.edu/Mammography/Database.html〉
15. D.P. Huttenlocher, G.A. Klanderman, and W.J. Rucklidge Comparing images using the Hausdorff distance IEEE Transactions on Pattern Analysis and Machine Intelligent 15 9 1993 850 863
16. R.J. Ferrari, R.M. Rangayyan, J.E.L. Desautels, A.F. Frere, Segmentation of mammograms: identification of the skin-air boundary, pectoral muscle, and fibro-glandular disc, in: Proceedings of the International Workshop on Digital Mammography, 2001, pp. 573-579.