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Fig. 1 | Diagnostic Pathology

Fig. 1

From: Clinical application of the HM-1000 image processing for HER2 fluorescence in situ hybridization signal quantification in breast cancer

Fig. 1

Noise optimization by machine learning model. Noise optimization and background subtraction for CEP17 signals, showing (a) the original image colored in 3-3-2 RGB; (b) the image after application of the rolling ball algorithm, where the radius pixels used for background subtraction is 15; and (c) after application of the threshold (1490), which was automatically obtained from the linear regression model

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