IP Library › Granted Patent US 12,308,118
Granted Patent B2
US 12,308,118 · App. 18/609,397 · Granted May 20, 2025

Information processing apparatus, information processing method, and recording medium

Inventor: Hiroaki Matsumoto (Yokohama, JP)
Assignee: KONICA MINOLTA, INC.
G16H40/67G06F18/214G06F18/2413G06V10/764G06V10/809G06V10/82G16H10/60G16H30/20G16H30/40G16H50/20
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Quick Facts
Patent No.
US 12,308,118
App. No.
18/609,397
Granted
May 20, 2025
Kind
B2
Abstract

An information processing apparatus including: a classifier that is applied for medical treatment data; and a hardware processor that sets a property of the classifier, evaluates a sufficiency level of the property by using evaluation data for the classifier, and selects and sets one classifier as the classifier to be used in a facility by referring to an evaluation result.

Claims (37)

1. An information processing apparatus comprising:

a classifier that is applied for medical treatment data; and

a hardware processor that:

sets a property of the classifier;

evaluates a sufficiency level of the property by using evaluation data for the classifier;

selects and sets one classifier as the classifier to be used in a facility by referring to an evaluation result; and

sets a learning condition of the classifier based on the set property of the classifier, wherein the hardware processor extracts learning data used in learning of the classifier in accordance with the property of the classifier so as to reduce a loss at the time of learning.

2. The information processing apparatus according to claim 1 , wherein the property includes both or one of a detection target to be detected and a detection performance for the detection target.

3. The information processing apparatus according to claim 2 , wherein the detection performance includes both or one of a sensitivity that is a probability of classifying data including an abnormality as abnormal and a specificity that is a probability of classifying normal data as normal.

4. The information processing apparatus according to claim 1 , wherein the classifier that is an evaluation target is a learned classifier to which learning is performed by using data collected in a present facility that is the facility to use the classifier.

5. The information processing apparatus according to claim 1 , wherein the classifier that is an evaluation target is a learned classifier to which learning is performed by using data collected in a facility different from the facility to use the classifier.

6. The information processing apparatus according to claim 1 , wherein the property includes both or one of a detection target to be detected and a detection performance for the detection target, wherein

the learning data that is used in the learning of the classifier is sorted based on the property of the classifier, and

the hardware processor extracts the learning data in accordance with the set property of the classifier.

7. The information processing apparatus according to claim 1 , further comprising a display that displays the property of the classifier and the evaluation result regarding the classifier.

8. The information processing apparatus according to claim 7 , wherein the display uses different displaying methods for the evaluation result that satisfies the property of the classifier set by the hardware processor and for the evaluation result that does not satisfy the set property of the classifier.

9. The information processing apparatus according to claim 1 , wherein

the hardware processor changes the learning condition and performs learning again when the hardware processor extracts the learning data in accordance with the set property of the classifier.

10. The information processing apparatus according to claim 1 , wherein

the loss at the time of learning is an evaluation value which is calculated from an output image of the classifier, the calculation using both or one of a maximum value and an area ratio.

11. The information processing apparatus according to claim 1 , wherein

the hardware processor extracts the learning data in accordance with the property of the classifier by changing weighting to a loss of a normal image from the weighting to the loss of an abnormal image.

12. The information processing apparatus according to claim 1 , wherein

the property includes a detection performance for a detection target, and

the detection performance includes both or one of a sensitivity that is a probability of classifying data including an abnormality as abnormal and a specificity that is a probability of classifying normal data as normal.

13. An information processing method, causing a hardware processor to:

set a property of a classifier applied for medical treatment data;

evaluate a sufficiency level of the property by using evaluation data for the classifier;

select and set one classifier as the classifier to be used in a facility by referring to an evaluation result of the evaluating; and

set a learning condition of the classifier based on the set property of the classifier, wherein the method further causes the hardware processor to

extract learning data used in learning of the classifier in accordance with the property of the classifier so as to reduce a loss at the time of learning.

14. A non-transitory recording medium storing a computer readable program causing a computer of an information processing apparatus to perform:

setting a property of a classifier applied for medical treatment data;

evaluating a sufficiency level of the property by using evaluation data for the classifier;

selecting and setting one classifier as the classifier to be used in a facility by referring to an evaluation result of the evaluating; and

setting a learning condition of the classifier based on the set property of the classifier, wherein the program further causes the computer to perform

extracting learning data used in learning of the classifier in accordance with the property of the classifier so as to reduce a loss at the time of learning.

Priority Claims (1)
JP 2020-023909 · Feb 17, 2020 · national
Continuity (2)
Continuation 17173560 · Feb 11, 2021
Related Publication 20240221934A1 · Jul 4, 2024
References Cited (11)
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Notice of Reasons for Refusal, dated Dec. 3, 2024, which was issued for the corresponding Japanese Patent Application No. 2024-032606, 12 pages, with English Translation. [cited by applicant]
Office Action dated Oct. 3, 2023 for corresponding Japanese Application No. 2020-023909, with English translation. [cited by applicant]