Segmentation Using Neural Nets
U-Net is a convolutional neural network architecture for semantic image segmentation. This particular network has been trained on data provided by the ISBI cell tracking challenge 2015. The U-Net is well suited to segment glioblastoma-astrocytoma cells in microscopy images.
Import the neural network from the Wolfram Neural Net Repository.
The following function utilizes U-Net to obtain cell segmentations in images of arbitrary size.
Create a cell segmentation mask.
Highlight the resulting cell segmentation.
