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

An information processing method comprising:

• acquiring an input image including any one of a real image, which is captured by an endoscope inserted into a tubular structure of a subject and which represents an interior wall of the tubular structure, or a virtual image, which is generated based on a three-dimensional image of the subject and which represents, in a pseudo manner, the interior wall of the tubular structure as viewed from a virtual viewpoint predetermined in the three-dimensional image;
• using a transformation model, which is trained to transform any one of the input real image or virtual image into an image style of the other of the input real image or virtual image, to transform the input image into a transformed image having an image style that is not included in the input image;
• acquiring an input depth image, which represents a distance for each pixel from a viewpoint of the input image to the interior wall of the tubular structure, and a transformed depth image, which represents a distance for each pixel from a viewpoint of the transformed image to the interior wall of the tubular structure;
• and
• training the transformation model by using a loss function including a degree of similarity between the input depth image and the transformed depth image.

A non-transitory computer-readable storage medium storing an information processing program for causing a computer to execute a process comprising:

• acquiring an input image including any one of a real image, which is captured by an endoscope inserted into a tubular structure of a subject and which represents an interior wall of the tubular structure, or a virtual image, which is generated based on a three-dimensional image of the subject and which represents, in a pseudo manner, the interior wall of the tubular structure as viewed from a virtual viewpoint predetermined in the three-dimensional image;
• using a transformation model, which is trained to transform any one of the input real image or virtual image into an image style of the other of the input real image or virtual image, to transform the input image into a transformed image having an image style that is not included in the input image;
• acquiring an input depth image, which represents a distance for each pixel from a viewpoint of the input image to the interior wall of the tubular structure, and a transformed depth image, which represents a distance for each pixel from a viewpoint of the transformed image to the interior wall of the tubular structure;
• and
• training the transformation model by using a loss function including a degree of similarity between the input depth image and the transformed depth image.