IP Library Patent Application 18531782
Patent Application
App. No. 18/531,782

MEDICAL INFORMATION PROCESSING DEVICE, MEDICAL INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM

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Quick Facts
Patent No.
US None
App. No.
18/531,782
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.

Claims (39)

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.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 1, 2026
From: CANON MEDICAL SYSTEMS CORPORATION
To: CANON KABUSHIKI KAISHA
Reel/Frame 075315/0598 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 7, 2023
From: KIMURA, ASATERU; SASAKI, SHO; NORO, KAZUMASA; MATSUMURA, YUKA
To: CANON MEDICAL SYSTEMS CORPORATION
Reel/Frame 065790/0965 →