PathoVA: a Visual Analytics tool for pathology diagnosis and reporting

Alberto Corvò, Marc A. van Driel, Michel A. Westenberg

We introduce PathoVA, a visual analytics system for computer aided pathology diagnosis. Diagnostic work of a pathologist involves characterizing, cells and appearance of histological sections of tissues, which are stained by techniques that highlight particular elements.
Our system supports this work by recording activities in a digital tissue slide viewer, from which a diagnostic trace is constructed automatically. The visualization of the trace is enhanced with quantitative data about the tissue obtained by image analysis. Using the trace visualization, the pathologist can fill out the pathology report according to the required protocol. We demonstrate our approach on a use case of breast tissue examination. Our qualitative evaluation shows that PathoVA supports the diagnostic procedure, and simplifies reporting.