Abstract

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.

Highlights

  • Brain tumor and Cerebrospinal fluid (CSF) identify with magnetic resonance images (MRI) is critical in the medicinal determination as it gives organized information on the design outline of a body part

  • There is a couple of essential MRI checks out: T1 weighted MRI as well as T2 weighted MRI

  • The main objective of our work is to develop a system that can auto-detect the tumorous region and combination of CSF that can segregate between the tumorous and non-tumorous patient, initially the input MRI image is pre-processed to fit the image for the rest of the process

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Summary

Introduction

Brain tumor and CSF identify with magnetic resonance images (MRI) is critical in the medicinal determination as it gives organized information on the design outline of a body part. Medical imaging is a crucial segment connected with countless which helps to conclude. The best component of MRI is, so it can create depicting images of diverse features. T1 pictures are generally used to take a gander at typical anatomical subtle elements. T1 is best to look at the cerebrum structure because fats and tissues seem brilliant and bone marrow contains a lot of fat. T2 is the transverse development of protons and is typically used to take a gander at pathology because most tissues included in contagion tend to have higher water content than normal

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