Machine learning system, recognizer, learning method, and program

Abstract

There are provided a machine learning system, a learning method, and a program that can facilitate learning of a large number of combined medical images. A machine learning system () includes: an image database () that stores a plurality of medical images; a geometric-shape database () that stores geometric shapes to be superimposed on the medical images; a processor (); and a learning model (), in which the processor () is configured to perform a selection accepting process of accepting selection of a medical image from among the medical images stored in the image database () and selection of a geometric shape from among the geometric shapes stored in the geometric-shape database (), a geometric-shape combining process of combining the selected medical image and the selected geometric shape and generating a composite image, and a training process of making the learning model perform learning by using the composite image.