References

PECTORAL MUSCLE IDENTIFICATION IN MAMMOGRAPHY IMAGES USING SPATIAL DOMAIN METHODS


[1] S. Abdulkadir and G. Yanhui, Color texture image segmentation based on neutrosophic set and wavelet transformation, Original Research Article Computer Vision and Image Understanding 115(8) (2011), 1134-1144.

[2] R. Chrástek, M. Wolf, K. Donath, H. Niemann, D. Paulus, T. Hothorn, B. Lausen, R. L’ammer, C. Y. Mardin and G. Michelson, Automated segmentation of the optic nerve head for diagnosis of glaucoma, Original Research Article Medical Image Analysis 9(4) (2005), 297-314.

[3] R. Gonzalez and J. Woods, Digital Image Processing, 3rd Edition, Prentice Hall, New Jersey, 2008.

[4] G. Hai, L. Weisi, X. Ping and S. Wan-Chi, Marker-based image segmentation relying on disjoint set union, Original Research Article Signal Processing: Image Communication 21(2) (2006), 100-112.

[5] Z. Hui, E. F. Jason and A. G. Sally, Image segmentation evaluation: A survey of unsupervised methods, Original Research Article Computer Vision and Image Understanding 110(2) (2008), 260-280.

[6] S. Jérome, K. Jinman and M.-T. Nadia, Robust statistical shape models for MRI bone segmentation in presence of small field of view, Original Research Article Medical Image Analysis 15(1) (2011), 155-168.

[7] M. Ludovic, V. Nicolas and P. Jack-Gérard, Color image segmentation by analysis of subset connectedness and color homogeneity properties, Original Research Article Computer Vision and Image Understanding 102(1) (2006), 105-116.

[8] D. Maleike, M. Nolden, H. P. Meinzer and I. Wolf, Interactive segmentation framework of the medical imaging interaction toolkit, Original Research Article Computer Methods and Programs in Biomedicine 96(1) (2009), 72-83.

[9] S. D. Olabarriaga and A. W. M. Smeulders, Interaction in the segmentation of medical images: A survey, Original Research Article Medical Image Analysis 5(2) (2001), 127-142.

[10] L. Shuo, F. Thomas, K. Adam and L. Song, Automatic clinical image segmentation using pathological modeling, PCA and SVM, Original Research Article Engineering Applications of Articial Intelligence 19(4) (2006), 403-410.

[11] T. S. Subashini, V. Ramalingam and S. Palanivel, Automated assessment of breast tissue density in digital mammograms, Original Research Article Computer Vision and Image Understanding 114(1) (2010), 33-43.

[12] J. Suckling et al., The mammographic image analysis society digital mammogram database exerpta medica, International Congress Series 1069 (1994), 375-378.