Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Reference15 articles.
1. Vijay, J., Subhashini, J.: An efficient brain tumor detection methodology using K- means clustering algorithm. In: Proceedings of the International conference on Communication and Signal Processing. April 3–5, pp. 653–658 (2013)
2. Khayati, R., Vafadust, M., Towhidkhah, F., Nabavi, M.: Fully automatic segmentation of multiple sclerosis lesions in brain MR FLAIR images using an adaptive mixtures method and Markov random field model’. Comput. Biol. Med. 38, 379–390 (2008)
3. Gopal, P.N., Sukanesh, R.: Wavelet statistical feature based segmentation and classification of brain computed tomography images IET Image Process. 7, 25–32 (2013)
4. Maksoud, E.A., Elmogy, M., Al-Awadi, R.: Brain Tumor Segmentation based on a Hybrid Clustering Technique. Egypt. Inf. J. 16(1), 71–81 (2015)
5. Bhanumurthy, M.Y., Anne, K.: Multiple sclerosis segmentation in brain MR images using modified histon based fast fuzzy C-means. Int. J. Appl. Eng. Res. 10(16), 37826–37833 (2015)
Cited by
26 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献