Pixel classification for GlaS challenge with UNet
Type
Requires
Implementation Type
Programming Language
Supported image dimension
Interaction Level
License/Openness
Description
This workflow segments glands from H&E stained histopathological images
from the Gland Segmentation Challenge (GlaS2015) using deep learning (UNet).
UNet implementation largely inspired from PyTorch-UNet by Milesial.
has function
has biological terms
Entry Curator
