  Perineural invasion (PNI) by malignant tumor cells has been reported as an
independent indicator of poor prognosis in various cancers. Assessment of PNI
in small nerves on glass slides is a labor-intensive task. In this study, we
propose an algorithm to detect the perineural invasions in colon, prostate, and
pancreas cancers based on a convolutional neural network (CNN).
