Image processing apparatus, image processing method, and image processing program

An image processing method comprising:

• acquiring a plurality of sectional images in a plurality of different sectional directions of a test subject;
• performing a primary classification process of specifying, with respect to each of the plurality of sectional images, the type of a tissue or a lesion to which each pixel of each sectional image belongs;
• performing a secondary classification process of evaluating results of the primary classification process with respect to of the plurality of each sectional images, with respect to a pixel that is common to the plurality of sectional images, to re-specify the type of a tissue or a lesion to which the pixel that is common to the plurality of sectional images belongs;
• and
• correcting a result of the secondary classification process on the basis of an anatomic feature of the tissue or the lesion, or an image feature value thereof.

A non-transitory computer-readable storage medium storing therein an image processing program that causes a computer to function as:

• a sectional image acquisition unit that acquires a plurality of sectional images in a plurality of different sectional directions of a test subject;
• a primary classification unit that performs a primary classification process of specifying, with respect to each of the plurality of sectional images, the type of a tissue or a lesion to which each pixel of each sectional image belongs;
• a secondary classification unit that performs a secondary classification process of evaluating results of the primary classification process with respect to each of the plurality of sectional images, with respect to a pixel that is common to the plurality of sectional images, to re-specify the type of a tissue or a lesion to which the pixel that is common to the plurality of sectional images belongs;
• and
• a correction unit that corrects a result of the secondary classification process on the basis of an anatomic feature of the tissue or the lesion, or an image feature value thereof.