公开(公告)号：US11978208B2

公开(公告)日：2024-05-07

申请号：US17388022

申请日：2021-07-29

Applicant: FUJIFILM Corporation

Inventor： Tsubasa Goto ,  Caihua Wang

IPC: G06T7/00 ,  G06N20/00 ,  G16H10/20 ,  G16H10/40 ,  G16H10/60 ,  G16H15/00 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G16H50/50 ,  G16H50/70 ,  A61B10/00 ,  G16H20/70

CPC classification number: G06T7/0016 ,  G06N20/00 ,  G16H10/20 ,  G16H10/40 ,  G16H10/60 ,  G16H15/00 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G16H50/50 ,  G16H50/70 ,  A61B2010/0077 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/30016 ,  G16H20/70

Abstract: There is provided a medical information acquisition device including an information acquisition unit that acquires functional change information obtained on the basis of a reference image and a past image acquired by capturing images of the same subject at a reference time and a past time closer to the past than the reference time, respectively, using a trained model.

公开(公告)号：US12169932B2

公开(公告)日：2024-12-17

申请号：US17565412

申请日：2021-12-29

Applicant: FUJIFILM Corporation

Inventor： Tsubasa Goto ,  Caihua Wang

IPC: G06T7/00 ,  G06V10/80 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20

Abstract: Provided are an information processing device, a program, a trained model, a diagnostic support device, a learning device, and a prediction model generation method that can perform prediction with high accuracy using images. An information processing device includes: 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. 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.