Recognition of brain cancer and cerebrospinal fluid due to the usage of different MRI image by utilizing support vector machine

• Main Authors: Saeed, Soobia, Abdullah, Afnizanfaizal
• Format: Article
• Published: Institute of Advanced Engineering and Science 2020
• Subjects: QA76 Computer software
• Online Access: http://eprints.utm.my/id/eprint/87223/; http://dx.doi.org/10.11591/eei.v9i2.1869
• Institution: Universiti Teknologi Malaysia

Medicinal images assume an important part in the diagnosis of tumors as well as Cerebrospinal fluid (CSF) leak. Similarly, MRI could be the cutting-edge regenerative imaging technology that allows for a sectional angle perspective of the body that gives specialists convenience and will inspect the person-concerned. In this paper, the author has attempted the strategy to classify MRI images at the beginning of production to have a tumor or recognition. The study aims to address the aforementioned problems associated with brain cancer with a CSF leak. This research, the author focuses on brain tumor and applies the statistical model for the testing and also discusses the images of a brain tumor. They can judge the tumor region by conducting a comparative image analysis and applying Histogram function afterwards to construct a classifier that could be prepared to predict tumor and non-tumor MRI examinees based on the support vector machine. Our system is capable of detecting the right region that a pathologist also highlights. In the future, this should be more driven with the objective that tumors can be arranged and describe the solution in the medical terms & implementation with gives some predictions about the future generated by modified technology.