1. A method for identifying a distinctive region in a medical image data set for a patient, comprising: acquiring a medical image data set of an interior of a blood vessel; applying an array of two or more multi-stage classifiers, wherein each of the multi-stage classifiers comprises a first classifier and a second classifier, to the medical image data set by applying the first classifier to the medical image data set, the first classifier having a sensitivity configured to identify a first subset of the medical image data set with one or more characteristics similar to a first specified distinctive region of the blood vessel, passing the identified first subset to the second classifier, and applying the second classifier to the first subset, the second classifier having a specificity configured to confirm the presence, or absence, of the first specified distinctive region within one or more portions of the first subset; and displaying a medical image based on the medical image data set and showing one or more first specified distinctive regions as identified by the multi-stage classifiers.