The ability to obtain and digitise pathology samples (such as in histopathology or cytopathology) has opened up the possibility of accurate and automated computer operated analysis, or computer-assisted analysis, when diagnosing a wide range of medical conditions. A typical digital pathology image analysis pipeline involves a large number of image pre-processing and processing operations. Small changes in the parameters used in these algorithms might lead to significant changes in the eventual pathological finding. Accordingly, the present application proposes to perform a sensitivity analysis on a digital pathology image analysis pipeline to assess the sensitivity of a given pathology result to changes of parameters in the digital pathology image analysis pipeline.