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Visualization of our RBCNet pipeline with two stages: training and testing. In the training stage, U-Net and Faster R-CNN are used to train on raw image tiles, while in the inference stage, we apply a Faster R-CNN trained network to cell cluster raw image regions corresponding to the connected components produced by U-Net.
