Medical image processing apparatus, hepatic segment division method, and program

A hepatic segment division method of allowing a computer to divide a liver region in an image into hepatic segments, the hepatic segment division method comprising:

• generating a learning model generated by performing machine learning using training data that includes first input data including a first image regarding a liver, and portal vein branch labeling data in which a portal vein branch label is attached to a portal vein region in the liver in the first image for each portal vein branch corresponding to the hepatic segment;
• generating a trained model by updating parameters of the learning model on the basis of a labeling result of the portal vein branch label that is output by the learning model for each image unit element of a first image region of the first image;
• accepting second input data which is a same type of input data as the first input data and includes a second image regarding the liver;
• assigning the portal vein branch label to each image unit element of a second image region of the second image using the trained model;
• and
• dividing a liver region included in the second input data into a plurality of the hepatic segments on the basis of the portal vein branch label assigned to each image unit element of the second image region.

A non-transitory, computer-readable tangible recording medium, which records thereon a program that causes a computer to operate as a medical image processing apparatus, the program comprising:

• a trained model generated by performing machine learning using training data that includes first input data including a first image regarding a liver, and portal vein branch labeling data in which a portal vein branch label is attached to a portal vein region in the liver in the first image for each portal vein branch corresponding to a hepatic segment,
• wherein the trained model is a model obtained by updating parameters of a learning model trained to output a labeling result of the portal vein branch label for each image unit element of a first image region of the first image by accepting an input of the first input data, and
• the program causes the computer to
• accept second input data which is a same type of input data as the first input data and includes a second image regarding the liver,
• assign the portal vein branch label to each image unit element of a second image region of the second image using the trained model, and
• divide a liver region included in the second input data into a plurality of the hepatic segments on the basis of the portal vein branch label assigned to each image unit element of the second image region.