1. A method comprising: identifying objects in a digital image of glandular tissue from a cancer patient, wherein the objects are identified based on staining by a biomarker of the glandular tissue; performing digital image analysis to measure a geometric characteristic of individual identified objects, wherein the geometric characteristic is based on a border length of the individual identified objects; and predicting that the cancer patient will have a recurrence of cancer of the glandular tissue based on the measured geometric characteristic of the individual identified objects but not based on any pattern formed by a plurality of the identified objects.