vishal815/Brain-Tumor-Detection-Using-MRI-Images
This repository contains the code implementation for the project "Brain Tumor classification Using MRI Images." The project aims to enhance brain tumor diagnostics through the utilization of Machine Learning (ML) and Computer Vision(CV) techniques, specifically employing a Support Vector Machine (SVM) classifier.
Brain Tumor Detection Using MRI Images
Overview
This repository contains the code implementation for the project "Brain Tumor Detection Using MRI Images." The project aims to enhance brain tumor diagnostics through the utilization of Machine Learning (ML) and Artificial Intelligence (AI) techniques, specifically employing a Support Vector Machine (SVM) classifier. The provided code showcases the implementation of the SVM model for brain tumor classification using MRI images.
Important Links
- Kaggle Dataset (For Data): Brain Tumor Classification MRI
- GitHub Repository: Brain Tumor Detection Using MRI Images
- Code Implementation: PROJECT Brain Tumor Classification
Instructions
-
Dataset Access:
- The dataset used for this project can be accessed on Kaggle: Brain Tumor Classification MRI.
-
GitHub Repository:
- Clone the GitHub repository to access the complete codebase and supplementary materials: Brain Tumor Detection Using MRI Images.
-
Code Implementation:
- The main code file, PROJECT Brain Tumor Classification, contains the implementation of the SVM model for brain tumor classification. Follow the instructions within the Jupyter Notebook to understand the workflow, data preprocessing, and model training and evaluation.
Dependencies
- Python 3.x
- Libraries: numpy, pandas, matplotlib, scikit-learn, opencv-python
Usage
. Clone the repository:
git clone https://github.com/vishal815/Brain-Tumor-Detection-Using-MRI-Images.git