# US 11,443,430 B2 · Diagnosis support device, diagnosis support method, and diagnosis support program

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- Number: US 11,443,430 B2
- Document ID: US11443430B2
- Status: Granted
- Kind: B2
- Application number: 16/915,716
- Filed: 2020-06-29
- Published: 2021-01-14
- Granted: 2022-09-13
- Earliest claimed: 2019-07-12
- Assignees: FUJIFILM Corporation
- Applicants: FUJIFILM Corporation
- Inventors: Takeshi Fukuda; Haruyasu Nakatsugawa
- Web page: https://patentgrep.com/patent/US11443430B2

## CPC

- G06T 7/0012: {Biomedical image inspection}
- A61B 6/5217: {extracting a diagnostic or physiological parameter from medical diagnostic data}
- G06F 18/285: {Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system}
- G06N 3/084: Backpropagation, e.g. using gradient descent
- G06N 20/00: Machine learning
- G06T 7/0014: {using an image reference approach}
- G06V 10/764: using classification, e.g. of video objects
- G06V 10/87: {using selection of the recognition techniques, e.g. of a classifier in a multiple classifier system}
- G06V 40/10: Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G16H 30/20: for handling medical images, e.g. DICOM, HL7 or PACS
- G16H 30/40: for processing medical images, e.g. editing
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients
- G06T 2207/20081: Training; Learning
- G06T 2207/20084: Artificial neural networks [ANN]
- G06T 2207/30096: Tumor; Lesion
- G06V 2201/03: Recognition of patterns in medical or anatomical images
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## Abstract

A diagnosis support device acquires medical image data representing a medical image obtained by imaging an animal as a subject with a medical image capturing device and head species information representing a head species of the subject and determines presence or absence of an abnormality in the medical image of the subject based on the acquired medical image data and head species information and a learned model learned in advance using a set of a plurality of pieces of the medical image data for learning and the head species information.

## Claims

### Claim 1

A diagnosis support device comprising:
a memory; and
a processor coupled to the memory and configured to:
acquire medical image data representing a medical image obtained by imaging an animal as a subject with a medical image capturing device and head species information representing a head species of the subject; and
determine presence or absence of an abnormality in the medical image of the subject based on the acquired medical image data and the acquired head species information and a learned model learned in advance using a set of a plurality of pieces of the medical image data for learning, wherein the plurality of pieces of medical image data for learning are image data of subjects belonging to the acquired head species information.

### Claim 2 (depends on 1)

The diagnosis support device according to claim 1,
wherein the plurality of pieces of the medical image data for learning include first medical image data representing a first medical image not including a lesion and second medical image data representing a second medical image including a lesion corresponding to a disease.

### Claim 3 (depends on 2)

The diagnosis support device according to claim 2,
wherein the second medical image includes a medical image classified for each disease determined in advance as a disease that is likely to be suffered for each head species.

### Claim 4 (depends on 1)

The diagnosis support device according to claim 1,
wherein the processor is further configured to:
determine the head species of the subject, using an optical image obtained by imaging a head portion of the subject, and
acquire the head species information representing the head species of the subject that is determined.

### Claim 5 (depends on 1)

The diagnosis support device according to claim 1,
wherein the subject is a dog, and
wherein the head species is a short-headed species, a middle-headed species, or a long-headed species.

### Claim 6 (depends on 1)

The diagnosis support device according to claim 1, wherein the processor is further configured to:
obtain, in advance, a plurality of learned models for a plurality of head species of the subject, and
select, from the plurality of learned models, a learned model for the head species corresponding to the acquired head species information to be used for determining presence or absence of an abnormality in the medical image of the subject.

### Claim 7

A diagnosis support method executed by a computer, the method comprising:
acquiring medical image data representing a medical image obtained by imaging an animal as a subject with a medical image capturing device and head species information representing a head species of the subject; and
determining presence or absence of an abnormality in the medical image of the subject based on the acquired medical image data and acquired head species information and a learned model learned in advance using a set of a plurality of pieces of the medical image data for learning, wherein the plurality of pieces of the medical image data for learning are image data of subjects belonging to the acquired head species information.

### Claim 8 (depends on 7)

The diagnosis support method according to claim 7, further comprising:
obtaining, in advance, a plurality of learned models for a plurality of head species of the subject, and
selecting, from the plurality of learned models, a learned model for the head species corresponding to the acquired head species information to be used for determining presence or absence of an abnormality in the medical image of the subject.

### Claim 9

A non-transitory computer-readable storage medium storing a diagnosis support program for causing a computer to execute processing, the processing comprising:
acquiring medical image data representing a medical image obtained by imaging an animal as a subject with a medical image capturing device and head species information representing a head species of the subject; and
determining presence or absence of an abnormality in the medical image of the subject based on the acquired medical image data and acquired head species information and a learned model learned in advance using a set of a plurality of pieces of the medical image data for learning wherein the plurality of pieces of the medical image data for learning are image data of subjects belong to the acquired head species information.

### Claim 10 (depends on 9)

The non-transitory computer-readable storage medium according to claim 9, wherein the processing further comprises:
obtaining, in advance, a plurality of learned models for a plurality of head species of the subject, and
selecting, from the plurality of learned models, a learned model for the head species corresponding to the acquired head species information to be used for determining presence or absence of an abnormality in the medical image of the subject.