Microscopy cell counting and detection with fully convolutional regression networks

A new state-of-the-art performance for cell count on standard synthetic image benchmarks is set and it is shown that the FCRNs trained entirely with synthetic data can generalise well to real microscopy images both for cell counting and detections for the case of overlapping cells.