This repository is a summary of AI for Medicine Specialization offered by deeplearning.ai
There are 3 Courses for AI for Medicine Specialization which are:
- The nuances of working with 2D and 3D medical data.
- Convolutional Neural Network for diagnosis of lung disease by looking at a chest X-ray.
- Segmentation model for detecting brain disorders.
- Build a deep learning model that can interpret chest X-rays to classify different disease causes.
- You'll implement evaluation methodologies to assess the quality of your model.
- You use image segmentation to identify the location and boundaries of brain tumors in MRI scans.
- Work with Structured data.
- Risk models and survival estimators for heart disease using tree-based statistical models to improve patient survival estimates.
- Random forest predictor to determine patient prognosis.
- Build a treatment effect predictor, apply model interpretation techniques.
- Natural language processing to extract information from radiology reports.
- Explore how Natural language extraction can more efficiently label medical datasets.