The project is designed to diagnose of breast cancer using mammogram images. The classifier is attainalbe by using nerual networks and transfer learning. This implementation allows users to get breast cancer predition by applying our models to an input image.
Download python 3 on the computer and download the code and packages listed below to your local machine to setup the model
Python Jupyter Notebook Numpy Pandas Matplotlib Pytorch torchvision SciPy
First to install python 3 onto your computer
Then to install all the packages needed to run the programs
pip install numpy pandas matplotlib Pytorch torchvision scipy
jupyter notebook
The test consistes of several steps
- data clearning and create data loader
- apply filters to the input images
- run classifier
- run the model and get the results
The model is able to reach a validation accuracy of a%, precision a, recall a.
Explain what these tests test and why
Give an example
This model can make prediction about the input picture is either benign tumor or malignant tumor
- Dropwizard - The web framework used
- Maven - Dependency Management
- ROME - Used to generate RSS Feeds
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
We use SemVer for versioning. For the versions available, see the tags on this repository.
- Nishant Mysore - Project Lead - PurpleBooth
- Huy Le - Project Member - PurpleBooth
- Yingyin Xiao - Project Member - PurpleBooth
- Lehan Li - Project Member - PurpleBooth
- Hat tip to anyone whose code was used
- Inspiration
- etc