Abstract: An improved histopathological score is obtained by generating image objects from images of tissue containing stained epithelial cells. First objects are generated that correspond to basal cells stained with a first stain, such as p63. Second objects are generated that correspond to luminal cells stained with a second stain, such as CK18. If the same tissue is not stained with both stains, then the images of differently stained tissue are co-registered. Third objects are defined to include only those second objects that have more than a minimum separation from any first object. A scoring region includes the third objects, and the histopathological score is determined based on tissue that falls within the scoring region. For example, a Gleason score of prostate tissue is determined by classifying tissue patterns in the scoring region. Alternatively, a Gleason pattern is assigned by counting the number of third objects that possess a predetermined form.

Abstract: An improved histopathological score is obtained by generating image objects from images of tissue containing stained epithelial cells. First objects are generated that correspond to basal cells stained with a first stain, such as p63. Second objects are generated that correspond to luminal cells stained with a second stain, such as CK18. If the same tissue is not stained with both stains, then the images of differently stained tissue are co-registered. Third objects are defined to include only those second objects that have more than a minimum separation from any first object. A scoring region includes the third objects, and the histopathological score is determined based on tissue that falls within the scoring region. For example, a Gleason score of prostate tissue is determined by classifying tissue patterns in the scoring region. Alternatively, a Gleason pattern is assigned by counting the number of third objects that possess a predetermined form.