BRAIN TUMOR DETECTION

BRAIN TUMOR DETECTION

DETECTING TUMOR AT EARLY STAGE

MISSION

To help a patient to consult domain specialist as early as possible.
To reduce the deaths caused due to Brain Tumor.
To increse the recovery rate of Brain Tumor Patients.

OBJECTIVE

Main objective of the project is to detect the Brain Tumor at the very start point.
To extract meaningful and accurate information from MRI images with least possible errors and finally conclude whether it is a tumor image or not.
To detect tumor at its preliminary stages and prevent a person from getting infected upto last level of tumor and risk of loosing life.

Action Plan

We collect primary data and dataset containing MRI images using different sources on internet as per the requirements we need.
Perform Data Preprocessing.
Analyze the data using Exploratory Data Analysis.
Using Visualization we interpret the data.
Split data into Training and Testing datasets.
Using Statistical Techniques and Machine Learning Algorithm we build a model that can be used to predict that a given MRI image has Brian Tumor or not.
Final conclusion.
Next step will be Designing the application and checking the result.

Brain Tumor Detection

PROJECT FRAMEWORK

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