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Abstract Artificial intelligence has recently found its way into biological dosimetry. This study validated the initial version of a deep neural network (DNN) workflow implemented by MetaSystems to detect dicentric and polycentric chromosomes in microscopy images. This was performed through parameter optimisation, calibration curve generation and independent testing.
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