The Breast Cancer Diagnosis app is a machine learning-powered tool designed to assist medical professionals in diagnosing breast cancer. Using a set of measurements, the app predicts whether a breast mass is benign or malignant. It provides a visual representation of the input data using a radar chart and displays the predicted diagnosis and probability of being benign or malignant. The app can be used by manually inputting the measurements or by connecting it to a cytology lab to obtain the data directly from a machine. The connection to the laboratory machine is not a part of the app itself.
The app was developed as a machine learning exercice from the public dataset Breast Cancer Wisconsin (Diagnostic) Data Set.
You can run this inside a virtual environment to make it easier to manage dependencies. I recommend using conda to create a new environment and install the required packages. You can create a new environment called breast-cancer-diagnosis by running:
conda create -n breast-cancer-diagnosis python=3.10 Then, activate the environment:
conda activate breast-cancer-diagnosisThen, activate the environment:
conda activate breast-cancer-diagnosisTo install the required packages, run:
pip install -r requirements.txtThis will install all the necessary dependencies, including Streamlit, OpenCV, and scikit-image.
To start the app, simply run the following command:
streamlit run app/main.py