Indian Journal of Science and Technology
DOI: 10.17485/ijst/2019/v12i34/146150
Year: 2019, Volume: 12, Issue: 34, Pages: 1-6
Original Article
Soobia Saeed1*, Afnizanfaizal Abdullah1 and NZ. Jhanjhi2
1Department of Software Engineering, Universiti Teknologi Malaysia-UTM, Johor Bharu, Malaysia; [email protected], [email protected]
2School of Computing and IT (SoCIT), Taylor’s University, Subang Jaya, Selangor, Malaysia; [email protected] taylors.edu.my
*Author for correspondence
Soobia Saeed
Department of Software Engineering, Universiti Teknologi Malaysia-UTM, Johor Bharu, Malaysia; [email protected]
Background/Objectives: 3D (3-dimensional) image analysis (3-D) provides an effective way to quickly and accurately evaluate complex interactions and functions between neurons. Method of identification based on the neuronal program. Other computerized image processing frameworks, for example, the corresponding schemes of data generate similar rays. For the most portions, on the same side of the heated head (heat shock proteins) the problem of brain tissue due to glucose is more than the tissue on the other side of the brain. Causes of brain tumors (cancer) are still unknown in this research owing to the rise in glucose metabolism. Methods/Findings: Our study region focuses on slowly developing paper tumors and oral tumors on the side of the brain. This research is the extended version of the research presented in (ICISCT), 2019. The aim of the research is to tackle the above-mentioned brain tissue issues. Application: Our study focuses on how to reduce the effect of cancer and boost human life through chemotherapy and how to define the process of 3-dimensional segmentation. The author operates on brain cancer in this study job and applies a statistical model to the trials and discusses pictures of brain tumors produced using MATLAB software. It then describes the solution from the medical point of view and application and predicts the future of the modified technology.
Keywords: Brain tumor, Cancer, Dimensional, Heat shock proteins, Process, Segmentation, Tissues
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