- Disease detection with computer vision: classifying diseases on chest x-rays using a neural network.
- Evaluating models: implementing standard evaluation metrics to see how well a model performs in diagnosing diseases.
- Image segmentation on MRI images: prepare 3D MRI data, implement an appropriate loss function for image segmentation, and apply a pre-trained U-net model to segment tumor regions in 3D brain MRI images.