Medical information processing device, medical information processing method, and storage medium
AssigneeCanon Medical Systems Corporation
InventorsAsateru KIMURA, Sho SASAKI, Kazumasa NORO, Yuka MATSUMURA
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Abstract
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.
Claims10
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.
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.
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.
Dependencies are inferred from the claim text.