CODA (part 3): deep learning tissue structures labeling | HuBMAP | JHU-TMC v2

In this section, we describe steps to create a basic semantic segmentation algorithm using CODA. CODA uses a modified resnet50 network adapted for semantic segmentation using an implementation of DeepLab. Here, we describe how to generate training datasets of manual annotations for a set of images, how to format the data for deep learning, and how to train and apply a CODA deep learning model.