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Development Of Texture Weighted Fuzzy C-Means Algorithm For 3d Brain Mri Segmentation, Ji Young Lee
Development Of Texture Weighted Fuzzy C-Means Algorithm For 3d Brain Mri Segmentation, Ji Young Lee
Electronic Theses and Dissertations
The segmentation of human brain Magnetic Resonance Image is an essential component in the computer-aided medical image processing research. Brain is one of the fields that are attracted to Magnetic Resonance Image segmentation because of its importance to human. Many algorithms have been developed over decades for brain Magnetic Resonance Image segmentation for diagnosing diseases, such as tumors, Alzheimer, and Schizophrenia. Fuzzy C-Means algorithm is one of the practical algorithms for brain Magnetic Resonance Image segmentation. However, Intensity Non- Uniformity problem in brain Magnetic Resonance Image is still challenging to existing Fuzzy C-Means algorithm. In this paper, we propose the …