Review On Brain Tumor Malignancy Prediction By 3D Reconstruction

A major increase in brain tumor has been seen in recent years, and it is in the tenth position. It is sever type of cancer and influences in people of all ages. Hence, if diagnosed well at the initial stage, it will turn out to be one of the most curable types of tumors. The computer aided analysis of MRI is performed to diagnosis the tumor through the process of classifying and segmenting. From the previous years of study, the research areas are mainly concentrated on machine and deep learning for brain malignancy prediction and treatment. The two dimensional MRI images helps to detect and classify the brain cancer precisely and efficiently. Usually the MRI images are two dimensional and not give sufficient knowledge regarding the structure and exact size of the tumor can be removed, and the detection procedure has become more complex. Since two-dimensional images never offer the actual feeling of exactly how a tumor looks, diagnosis includes 3D tumor reconstruction, planning for surgery and biological studies. The survival rate shows gives us an exact picture of the number of patients who have survived after the tumor is identified. The 5-year and 10 year survival rate is approximately 36 percent and 31 percent respectively for persons with a cancerous brain or CNS tumor. For increasing the survival rate of brain tumor, 3D image reconstruction can be used and it is one of the best attractive features in virtual reality, especially because of its application in medical image processing.