Research Article
Efficient Brain Tumor Segmentation in Magnetic Resonance Image Using Region-Growing Combined with Level Set
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@INPROCEEDINGS{10.1007/978-3-319-29236-6_22, author={Nguyen Hien and Nguyen Binh}, title={Efficient Brain Tumor Segmentation in Magnetic Resonance Image Using Region-Growing Combined with Level Set}, proceedings={Context-Aware Systems and Applications. 4th International Conference, ICCASA 2015, Vung Tau, Vietnam, November 26-27, 2015, Revised Selected Papers}, proceedings_a={ICCASA}, year={2016}, month={4}, keywords={Tumor Magnetic resonance Segmentation Region-growing Level set}, doi={10.1007/978-3-319-29236-6_22} }- Nguyen Hien
Nguyen Binh
Year: 2016
Efficient Brain Tumor Segmentation in Magnetic Resonance Image Using Region-Growing Combined with Level Set
ICCASA
Springer
DOI: 10.1007/978-3-319-29236-6_22
Abstract
Medical image segmentation plays a great role in image processing because it can help human to extract some suspicious regions from a medical image especially brain images. Brain tumor is one of the huge medical problems. It has an influence on our lives. In this paper, we proposed a method for brain tumor segmentation and detection in magnetic resonance image (MRI). The contrast of MRI is enhanced by using histogram equalization and the tumor region is labeled by using the region-growing technique combined with the level set method to create the exact boundary of tumor region and return the segmentation result. The proposed method is better than the other recent methods based on compared results.
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