Cell segmentation is a critical part of epidemiological research. Automating the cell segmentation process can enable increased research throughput, reduce the time-to-market for drugs, and reduce the strain on research staff.
The goal of this project is to implement, train, and test a model that is capable of accurately segmenting cells, automatically.
In order to accomplish this task we implemented a U-net convolutional neural network.