References

Chai, H.Y., L.K. Wee, T.T. Swee, S.H. Salleh, A.K. Ariff and Kamarulafizam, 2011. Gray-level co-occurrence matrix bone fracture detection. Am. J. Applied Sci., 8: 26-32.
CrossRef  |  

Cheng, J. and X. Sun, 2012. Medical image segmentation with improved gradient vector flow. Res. J. Appl. Sci. Eng. Technol., 20: 3951-3957.
Direct Link  |  

Dilip, K.S. and E.A.P. Rupa, 2014. Segmentation and classification of brain MRI images using improved logismos-b algorithm. Int. J. Eng. Res. Appl., 4: 172-177.

Dwivedi, K., A. Maurya and M. Shishupal, 2014. Brain tumor-computer based diagnosis, categorization and sectionalization. Int. J. Eng. Tech. Res., Vol. 2,

James, A.P. and B.V. Dasarathy, 2014. Medical image fusion: A survey of the state of the art. Inf. Fusion, 19: 4-19.
CrossRef  |  Direct Link  |  

Michailovich, O., Y. Rathi and A. Tannenbaum, 2007. Image segmentation using active contours driven by the Bhattacharyya gradient flow. IEEE. Trans. Image Process., 16: 2787-2801.
CrossRef  |  Direct Link  |  

Ren, D., W. Zuo, X. Zhao, Z. Lin and D. Zhang, 2013. Fast gradient vector flow computation based on augmented Lagrangian method. Pattern Recognit. Lett., 34: 219-225.
CrossRef  |  Direct Link  |  

Sachdeva, J., V. Kumar, I. Gupta, N. Khandelwal and C.K. Ahuja, 2012. A novel content-based active contour model for brain tumor segmentation. Magn. Reson. Imaging, 30: 694-715.
CrossRef  |  Direct Link  |  

Zhao, J., L. Zhang and M. Yin, 2014. Medical image segmentation based on wavelet analysis and gradient vector flow. J. Software Eng. Appl., Vol. 7,