Fig. 2.

Overview of the 2-D cell segmentation algorithm. Labeled images are used as training set for deep learning. The unseen images are passed through the inference engine to create the probability maps for the nuclear seeds and cytoplasm. Multiple steps are required for the nuclear seed prediction and the cell segmentation