AI For Medicine Specialization

Pre-process and prepare a real-world X-ray dataset
Use transfer learning to retrain a DenseNet model for X-ray image classification
Learn a technique to handle class imbalance
Measure diagnostic performance by computing the AUC (Area Under the Curve) for the ROC (Receiver Operating Characteristic) curve
Visualize model activity using GradCAMs

Here we cover:

Data preparation
    Visualizing data
    Preventing data leakage
Model Development
    Addressing class imbalance
    Leveraging pre-trained models using transfer learning
Evaluation
    AUC and ROC curves