US 12,169,932 B2
Information processing device, program, trained model, diagnostic support device, learning device, and prediction model generation method
Tsubasa Goto, Tokyo (JP); and Caihua Wang, Tokyo (JP)
Assigned to FUJIFILM Corporation, Tokyo (JP)
Filed by FUJIFILM Corporation, Tokyo (JP)
Filed on Dec. 29, 2021, as Appl. No. 17/565,412.
Application 17/565,412 is a continuation of application No. PCT/JP2020/028074, filed on Jul. 20, 2020.
Claims priority of application No. 2019-137875 (JP), filed on Jul. 26, 2019; and application No. 2020-036935 (JP), filed on Mar. 4, 2020.
Prior Publication US 2022/0122253 A1, Apr. 21, 2022
Int. Cl. G06T 7/00 (2017.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01)
CPC G06T 7/0012 (2013.01) [G06V 10/811 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30016 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An information processing device comprising:
an information acquisition unit that receives an input of image data and non-image data related to a target matter; and
a prediction unit that predicts an aspect related to the matter at a time different from a time when the image data is captured on the basis of the image data and the non-image data input through the information acquisition unit,
wherein the prediction unit performs weighting calculation by a calculation method, which outputs a combination of products of elements of a first feature amount calculated from the image data and a second feature amount calculated from the non-image data, to calculate a third feature amount in which the first feature amount and the second feature amount are fused and performs the prediction on the basis of the third feature amount, and
wherein the non-image data includes data of information related to a matter that does not appear in an image indicated by the image data.