Computer-aided diagnostics in digital pathology: automated evaluation of early-phase pancreatic cancer in mice.

Purpose: Digital pathology diagnostics are often based on subjective qualitative measures. A murine model of early-phase pancreatic ductal adenocarcinoma provides a controlled environment with a priori knowledge of the genetic mutation and stage of the disease. Use of this model enables the application of supervised learning methods to digital pathology.