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https://github.com/mikemwai/oncolyticnet
An Automated Cancer Diagnostics Machine Learning model
https://github.com/mikemwai/oncolyticnet
cancer-detection computer-vision convolutional-neural-networks deep-learning flask tensorflow transfer-learning
Last synced: 14 days ago
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An Automated Cancer Diagnostics Machine Learning model
- Host: GitHub
- URL: https://github.com/mikemwai/oncolyticnet
- Owner: mikemwai
- License: mit
- Created: 2024-06-21T10:59:12.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-07-19T10:23:51.000Z (6 months ago)
- Last Synced: 2024-11-10T08:37:47.184Z (2 months ago)
- Topics: cancer-detection, computer-vision, convolutional-neural-networks, deep-learning, flask, tensorflow, transfer-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 61.2 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Oncolyticnet
This project aims to develop a machine learning model for detecting brain tumors from MRI scans using the VGG-19 architecture with transfer learning and data augmentation techniques to fine-tune the pre-trained model, enabling accurate and reliable brain tumor detection.
## Installation
1. Clone the repository:
```
git clone https://github.com/mikemwai/oncolyticnet.git
```
2. Navigate to the project directory:
```
cd oncolyticnet
```
3. Install the required packages:
```
pip install -r requirements.txt
```
## Usage
- Run the following command to start the application:
- On Windows:
```sh
set FLASK_APP=app.py
flask run
```
- On Unix/Linux/Mac:
```sh
export FLASK_APP=app.py
flask run
```
- This will start a development server on http://127.0.0.1:5000/ where you can access the application.
## Dataset
- The dataset used for this project can be downloaded [here](https://www.kaggle.com/datasets/navoneel/brain-mri-images-for-brain-tumor-detection) or extract it from [here](dataset.zip).
- An additional dataset for image validation was downloaded from [here](https://www.kaggle.com/datasets/pankajkumar2002/random-image-sample-dataset?resource=download).
- The image validation model and detection model can be downloaded from [here](https://drive.google.com/drive/folders/1300P6O28YW1X2c6jmZ5Nai7jhdLcnIZT?usp=sharing).
## Contributions
If you'd like to contribute to this project:
- Please fork the repository.
- Create a new branch for your changes.
- Submit a [pull request](https://github.com/mikemwai/oncolyticnet/pulls).
Contributions, bug reports, and feature requests are welcome!
## Issues
If you have any issues with the project, feel free to open up an [issue](https://github.com/mikemwai/oncolyticnet/issues).
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.