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Literature Survey on 3D Brain Tumor Segmentation in MRI Images

Author: 
Azza Abdel Rahman Mohammed Ali Geili and Alnazier Osman Mohammed Hamza
Abstract: 

Brain Tumor is an abnormal tissue found in Brain. Some techniques like MRI and CT generate 2D images of internal parts of the body. As two dimensional images never give the actual feel of how a tumor exactly looks like, 3D reconstruction of the tumor is necessary for diagnosis, surgical planning and biological research. Diversity and complexity of the tumors makes it very challenging to visualize tumor in MRI. 3D image reconstruction is one of the most attractive avenues in digital signal processing especially due to its application in biomedical imaging. In this paper work a presentation of an efficient and effective approach to 3D reconstruction was done. It involves the implementation of various steps like image classification, image segmentation ACO algorithm and finally mesh generation using marching cube algorithm and rendering to give realistic effects (Haithem Boussaid et al., 2013).

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