	US 12,205,275 B2
	Information processing device, information processing method, and storage medium that perform inferencing on images in an acquired image group based on a selected inference model
Yukiteru Masuda, Kanagawa (JP)
Assigned to CANON KABUSHIKI KAISHA, Tokyo (JP); and CANON MEDICAL SYSTEMS CORPORATION, Tochigi (JP)
Filed by CANON KABUSHIKI KAISHA, Tokyo (JP); and CANON MEDICAL SYSTEMS CORPORATION, Tochigi (JP)
Filed on May 20, 2021, as Appl. No. 17/325,720.
Claims priority of application No. 2020-088902 (JP), filed on May 21, 2020.
Prior Publication US 2021/0365722 A1, Nov. 25, 2021
Int. Cl. G06F 18/20 (2023.01); G06N 5/04 (2023.01); G06T 7/00 (2017.01); G06N 20/00 (2019.01)

CPC G06T 7/0012 (2013.01) [G06F 18/285 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06T 2207/20081 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30168 (2013.01); G06V 2201/03 (2022.01)]

13 Claims

1. An information processing apparatus comprising:

at least one memory storing a program; and

at least one processor that, by executing the program, causes the information processing apparatus:

to acquire an image group obtained by imaging a subject under a plurality of imaging conditions;

to select at least one inference model from a plurality of inference models on the basis of at least one imaging condition among the plurality of imaging conditions;

to perform inferencing on images in the acquired image group by using the selected inference model;

to calculate, for each image in the acquired image group, a probability of occurrence of a phenomenon that lowers inference in each region in the image; and

to select the inference model, with an image that has a region, in which the calculated probability of occurrence of the phenomenon exceeds a predetermined threshold value, being excluded from the acquired image group.