Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
How do you recommend preparing training data in my own context which is histology imaging (cells in a tissue)? Is there an easily accessible tool to annotate and prepare the masks required for running the code here?
Is there a way to incorporate hierarchy (groups of cells defining a compartment thereby segmenting the compartment as well as the cells)?
Thanks
How do you recommend preparing training data in my own context which is histology imaging (cells in a tissue)? Is there an easily accessible tool to annotate and prepare the masks required for running the code here? Is there a way to incorporate hierarchy (groups of cells defining a compartment thereby segmenting the compartment as well as the cells)? Thanks