https://github.com/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.
https://github.com/vishal815/brain-tumor-detection-using-mri-images
brain-tumor braintumorclassification classification computer-vision machine-learning project supervised-learning vishal-lazrus vishallazrus
Last synced: 7 months ago
JSON representation
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.
- Host: GitHub
- URL: https://github.com/vishal815/brain-tumor-detection-using-mri-images
- Owner: vishal815
- Created: 2023-11-03T07:57:54.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-11-17T03:53:23.000Z (almost 2 years ago)
- Last Synced: 2025-01-30T20:57:05.389Z (8 months ago)
- Topics: brain-tumor, braintumorclassification, classification, computer-vision, machine-learning, project, supervised-learning, vishal-lazrus, vishallazrus
- Language: Jupyter Notebook
- Homepage: https://github.com/vishal815/Brain-Tumor-Detection-Using-MRI-Images/blob/main/PROJECT%20Brain%20Tumor%20Classification-checkpoint.ipynb
- Size: 377 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 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](https://www.kaggle.com/datasets/sartajbhuvaji/brain-tumor-classification-mri/code?datasetId=672377&sortBy=relevance)
- GitHub Repository: [Brain Tumor Detection Using MRI Images](https://github.com/vishal815/Brain-Tumor-Detection-Using-MRI-Images.git)
- Code Implementation: [PROJECT Brain Tumor Classification](https://github.com/vishal815/Brain-Tumor-Detection-Using-MRI-Images/blob/main/PROJECT%20Brain%20Tumor%20Classification-checkpoint.ipynb)
## Instructions
1. **Dataset Access:**
- The dataset used for this project can be accessed on Kaggle: [Brain Tumor Classification MRI](https://www.kaggle.com/datasets/sartajbhuvaji/brain-tumor-classification-mri/code?datasetId=672377&sortBy=relevance).
2. **GitHub Repository:**
- Clone the GitHub repository to access the complete codebase and supplementary materials: [Brain Tumor Detection Using MRI Images](https://github.com/vishal815/Brain-Tumor-Detection-Using-MRI-Images.git).
3. **Code Implementation:**
- The main code file, [PROJECT Brain Tumor Classification](https://github.com/vishal815/Brain-Tumor-Detection-Using-MRI-Images/blob/main/PROJECT%20Brain%20Tumor%20Classification-checkpoint.ipynb), 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:
```bash
git clone https://github.com/vishal815/Brain-Tumor-Detection-Using-MRI-Images.git
```