1. An endoscopic image diagnosis support system, comprising: a memory that stores learning images pre-classified into pathological types; and a processor that, given an endoscopic image, performs feature value matching between an image of an identification target scan window in the endoscopic image and the learning images, to identify the pathological types in the identification target scan window, wherein the processor performs feature value matching between the image of the identification target scan window and the learning images to compute identification probabilities of the pathological types in the identification target scan window, and, when a maximum value of the identification probabilities is smaller than a threshold, subdivides the identification target scan window, to perform feature value matching between images of subdivided scan windows and the learning images to compute identification probabilities of the pathological types in the subdivided scan windows, and computes average values of the identification probabilities of the pathological types in the identification target scan window and the subdivided scan windows, the average values corresponding to identification probabilities of the pathological types in hierarchical overlap regions of the identification target scan window and the subdivided scan windows, wherein the processor is configured to output the average values.