Image (or semantic) segmentation is the task of placing each pixel of an image into a specific class. Learn how to segment MRI images to measure parts of the heart by:
- Comparing image segmentation with other computer vision problems
- Experimenting with TensorFlow tools such as TensorBoard and the TensorFlow Keras Python API
- Learning to implement effective metrics for assessing model performance
Prerequisites:
- Basic familiarity with Python
- Basic familiarity with how to set up a Neural Network using a framework such as:
- PyTorch
- Keras
- Scikit-learn
- TensorFlow 1 or 2
Tools, libraries, frameworks used: TensorFlow 2 with Keras