Information processing apparatus, information processing method, and information processing program

An information processing method executed by at least one processor provided in an information processing apparatus, the method comprising:

• acquiring a plurality of training data in which range information indicating a range in which a first region and a second region including at least a part of the first region are present is added to each of a plurality of training images each including the first region and the second region,
• wherein the training data includes both a training image including the first region and the second region having a complete inclusion relationship and a training image including the first region and the second region having a partial inclusion relationship,
• wherein in a case of the partial inclusion relationship, a part of the range in which the first region is present is not included in the range in which the second region is present and, the partial inclusion relationship is different from the complete inclusion relationship where an entire range in which the first region is present is included in the range in which the second region is present;
• calculating, for each pixel of the training image, a probability that the pixel is a portion of the first region that is not included in the second region by using an estimation model;
• calculating a probability sum, which is a sum of the probabilities, for each of the plurality of training images;
• and
• training the estimation model such that for each of training images having the partial inclusion relationship in which the first region has the portion that is not included in the second region, the probability sum is increased and for each of training images having the complete inclusion relationship in which the first region does not have the portion that is not included in the second region, the probability sum is zero.

A non-transitory computer-readable storage medium storing an information processing program causing at least one processor provided in an information processing apparatus to execute a process comprising:

• acquiring a plurality of training data in which range information indicating a range in which a first region and a second region including at least a part of the first region are present is added to each of a plurality of training images each including the first region and the second region,
• wherein the training data includes both a training image including the first region and the second region having a complete inclusion relationship and a training image including the first region and the second region having a partial inclusion relationship,
• wherein in a case of the partial inclusion relationship, a part of the range in which the first region is present is not included in the range in which the second region is present and, the partial inclusion relationship is different from the complete inclusion relationship where an entire range in which the first region is present is included in the range in which the second region is present;
• calculating, for each pixel of the training image, a probability that the pixel is a portion of the first region that is not included in the second region by using an estimation model;
• calculating a probability sum, which is a sum of the probabilities, for each of the plurality of training images;
• and
• training the estimation model such that for each of training images having the partial inclusion relationship in which the first region has the portion that is not included in the second region, the probability sum is increased and for each of training images having the complete inclusion relationship in which the first region does not have the portion that is not included in the second region, the probability sum is zero.