Two-step verification of brain tumor segmentation using watershed-matching algorithm

Author:

Hasan S. M. Kamrul,Ahmad Mohiudding

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Neurology

Reference24 articles.

1. Bhima K, Jagan A (2017) Novel techniques for detection of anomalies in brain MR images. In: Proceedings of international conference frontiers in intelligent computing: theory and applications, pp 219–226

2. Ayachi R, Amor NB (2009) Brain tumor segmentation using support vector machines. Eur Conf Symb Quant Approach Reason Uncertain 5590:736–747

3. Samuel J, Dong M, Hua J, Haacke EM (2007) Brain tumor detection using scale invariant feature transform. In: Proceedings of international society for magnetic resonance, p 15

4. Besbes A, Komodakis N, Langs G, Paragios N (2009) Shape priors and discrete MRFs for knowledge-based segmentation. In: IEEE international conference on computer vision and pattern recognition, pp 1295–1302

5. Shen S, Sandham W, Granat M, Sterr A (2005) MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization. IEEE Trans Inf Technol Biomed Pattern Anal Mach Intell 5(3):459–467

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