Learning apparatus, learning method, and learning program, region-of-interest extraction apparatus, region-of-interest extraction method, and region-of-interest extraction program, and learned extraction model

Abstract

A learning apparatus of an extraction model that extracts a region of interest from images having a plurality of different representation formats is provided. The learning apparatus comprising one processor is configured to perform learning of an encoder, a first decoder, a first discriminator, a second decoder, and a second discriminator which constitute the extraction model. The encoder extracts a feature amount of a first image of a first representation format. The first decoder derives a second virtual image of a second representation format. The first discriminator outputs a first discrimination result on a representation format of an input image and whether the input image is a real image or a virtual image. The second discriminator outputs a second discrimination result on whether an extraction result of a region of interest by the second decoder is from a first image with or without a ground-truth mask.