MEDICAL INFORMATION PROCESSING DEVICE, MEDICAL INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
A medical information processing device of an embodiment includes processing circuitry. The processing circuitry acquires a medical image to be processed, divides the medical image into a plurality of regions, calculates an image feature amount for each of the plurality of regions, generates a first cluster in which at least some of the plurality of regions are collected on the basis of the image feature amount, and identifies a sampling position on the basis of the first cluster.
1 . A medical information processing device comprising processing circuitry, the processing circuitry being configured to:
acquire a medical image to be processed;
divide the medical image into a plurality of regions;
calculate an image feature amount for each of the plurality of regions;
generate a first cluster in which at least some of the plurality of regions are collected on the basis of the image feature amount; and
identify a sampling position on the basis of the first cluster.
2 . The medical information processing device according to claim 1 , wherein the processing circuitry is configured to:
generate a second cluster related to the first cluster; and
identify the sampling position on the basis of the number of connections of regions included in the first cluster and the second cluster.
3 . The medical information processing device according to claim 2 , wherein the processing circuitry is configured to:
identify one of the first cluster and the second cluster which has a larger number of connections; and
identify the sampling position within the identified one of the first cluster and the second cluster having the larger number of connections.
4 . The medical information processing device according to claim 2 , wherein the second cluster is a cluster having the image feature amounts common to the first cluster and is separated from the first cluster.
5 . The medical information processing device according to claim 2 , wherein
the medical image is a planar image, and
the processing circuitry is configured to:
divide the medical image into the regions in a rectangular shape; and
count the number of connections on the basis of the number of regions in contact each other in either line contact or point contact.
6 . The medical information processing device according to claim 1 , wherein
the medical image is a stereoscopic image, and
the processing circuitry is configured to divide the medical image into the regions in a rectangular parallelepiped shape.
7 . The medical information processing device according to claim 2 , wherein
the medical image is a stereoscopic image, and
the processing circuitry is configured to:
divide the medical image into the regions in a rectangular parallelepiped shape; and
count the number of connections on the basis of the number of regions in surface contact, line contact, or point contact with each other.
8 . The medical information processing device according to claim 1 , wherein the processing circuitry is configured to identify the sampling position on the basis of a point that is the center of gravity of the regions or a point at which the sum of distances from an edge of the regions is shortest within the regions.
9 . A medical information processing method, using a computer, comprising:
acquiring a medical image to be processed;
dividing the medical image into a plurality of regions;
calculating an image feature amount for each of the plurality of regions;
generating a first cluster including at least some of the plurality of regions on the basis of the image feature amount; and
identifying a sampling position on the basis of the first cluster.
10 . A computer-readable non-transitory storage medium storing a program for causing a computer to:
acquire a medical image to be processed;
divide the medical image into a plurality of regions;
calculate an image feature amount for each of the plurality of regions;
generate a first cluster including at least some of the plurality of regions on the basis of the image feature amount; and
identify a sampling position on the basis of the first cluster.