Breast-cancer-classification

Breast Cancer Classification using Densnet201Model.

Authors

• Ujwal Nagulapalli • Jyothsna Aitipamula

Softwares & Environments Required

• Python 3.9 • TensorFlow • Matplotlib • Scipy & Scikit-Learn • Keras • TQDM • Numpy • Pandas • Jupiter Notebook

Installation

For setting the Environment in the new M1 MacBook we need to follow this URL.

For setting the Environment in Windows machines use the following the commands: • pip install numpy pandas scikit-image matplotlib scikit-learn keras • jupyter notebook

Data

The dataset can be downloaded from here. This is a binary classification problem. I split the data into test and validation. • /Users/ Desktop/Breast Cancer/data/train/benign • /Users/Desktop/Breast Cancer/data/train/malignant • /User /Desktop/Breast Cancer/data/validation/benign • /Users/Desktop/Breast Cancer/data/validation/malignant

Results

Accuracy

Loss

Confusion Matrx

ROC and AUC