Learning apparatus, learning method, image processing apparatus, endoscope system, and program

Abstract

There are provided a learning apparatus, a learning method, an image processing apparatus, an endoscope system, and a program that enable generation of training data on the basis of output data from a learning model for which learning is performed by using normality data. A first learning model () is generated by performing first learning using normality data () as learning data or by performing first learning using as learning data, normality mask data () that is generated by making a part of normality data be lost, and second training data to be applied to a second learning model that identifies identification target data is generated by using output data output from the first learning model in response to input of abnormality data to the first learning model.