GPU-Based Level Set Method for MRI Brain Tumor Segmentation Using Modified Probabilistic Clustering
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The level set method (LSM) has been widely used in image segmentation due to its intrinsic nature which allows handling complex shapes and topological changes easily. We propose a new level set algorithm, which is based on probabilistic c mean objective function which incorporates intensity inhomogeneity in image and robust to noise. The computational complexity of the proposed LSM is greatly reduced by using highly parallelizable lattice Boltzmann method (LBM). So the proposed algorithm is effective and highly parallelizable. The proposed LSM is implemented using Experimental results demonstrate the performance of the proposed method.
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2021 ◽
Vol 198
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pp. 105809
2018 ◽
Vol 21
(3)
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pp. 357-369
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Level set method with automatic selective local statistics for brain tumor segmentation in MR images
2013 ◽
Vol 37
(7-8)
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pp. 522-537
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2015 ◽
Vol 10
(4)
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pp. 290-296
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2017 ◽
Vol 25
(2)
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pp. 301-312
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