Breast Cancer Classification

This repository contains a Convolutional Neural Network (CNN) model to classify breast cancer images.

Setup Instructions

Follow the steps below to set up and run the project:

1. Clone the Repository

git clone https://github.com/Sasank-V/Breast-Cancer-Classification.git
cd Breast-Cancer-Classification

2. Create a Virtual Environment

Create a virtual environment inside the project directory:

# On Windows
python -m venv venv
venv\Scripts\activate

# On macOS/Linux
python3 -m venv venv
source venv/bin/activate

3. Install Dependencies

Install the required packages from requirements.txt:

pip install -r requirements.txt

4. Train the CNN Model

Navigate to the code directory and run the training script:

cd code
python train.py

5. Deactivate Virtual Environment (Optional)

Once done, deactivate the virtual environment:

deactivate

Project Structure

Breast-Cancer-Classification/
│── code/
│   ├── train.py  # CNN training script
│── datasets/  # Dataset (not included in repo)
│   ├── all_images/ # Place the Images Data here
│── requirements.txt  # Required packages
│── README.md  # Setup and usage guide

Notes

• Ensure that you have Python installed (3.8 or above recommended).
• The dataset should be placed inside the datasets/all_images/ folder before training.
• Modify train.py as needed for hyperparameter tuning.

Happy Coding! 🚀