This is a simple IPython Notebook created for the Nvidia Deep Learning Institute course on image segmentation.
- Creating a simple NN for image segmentation (data preprocessing)
- Using CNN
- Implementing Dice Metric and parameter search
- Using simple NN for image segmentation (inefficient)
- Using CNN with multiple convolutions and one convolutional transpose layer
- Using the previous CNN with Dice coefficient which provides a better comparison of detected area with the actual area
- Implementing a U-Net architecture with encoder-decoder layers