公开(公告)号：US20250061253A1

公开(公告)日：2025-02-20

申请号：US18937773

申请日：2024-11-05

Applicant: FUJIFILM Corporation

Inventor： Caihua WANG

IPC: G06F30/27

Abstract: A pharmaceutical support device includes a processor, in which the processor is configured to: acquire prescription information related to a prescription of a candidate preservation solution that is a candidate for a preservation solution for a biopharmaceutical containing a protein; acquire a plurality of types of measurement data actually measured in a test for confirming preservation stability of the candidate preservation solution; use a machine learning model that outputs prediction data at a future time point of first measurement data, which is at least one type of the plurality of types of measurement data; and input the prescription information, the first measurement data, and at least one type of second measurement data other than the first measurement data among the plurality of types of measurement data to the machine learning model and output the prediction data from the machine learning model.

公开(公告)号：US20240242096A1

公开(公告)日：2024-07-18

申请号：US18618765

申请日：2024-03-27

Applicant: FUJIFILM Corporation

Inventor： Caihua WANG

IPC: G06N5/022

CPC classification number: G06N5/022

Abstract: A processor is configured to: use a plurality of machine learning models that output prediction data indicating preservation stability of a candidate preservation solution, which is a candidate for a preservation solution for a biopharmaceutical, at a future time point and that are provided for a plurality of types of the preservation stability, respectively; perform a prediction process of inputting prescription information related to a prescription of a candidate preservation solution to be predicted and measurement data obtained by actually measuring the preservation stability of a candidate preservation solution actually prepared to the machine learning model such that the prediction data is output from the machine learning model in stages using the plurality of machine learning models; and input the prediction data obtained in the prediction process in a previous stage to the machine learning model in the prediction process in a subsequent stage.

公开(公告)号：US20240153637A1

公开(公告)日：2024-05-09

申请号：US18544307

申请日：2023-12-18

Applicant: FUJIFILM Corporation

Inventor： Caihua WANG

IPC: G16H50/20 ,  G16H10/60 ,  G16H50/50

CPC classification number: G16H50/20 ,  G16H10/60 ,  G16H50/50

Abstract: A medical support device includes: a processor; and a memory connected to or built into the processor, in which the processor is configured to: acquire target input data which is input data related to a disease of a subject whose progression of the disease is to be predicted, and a prediction interval which is an interval from a reference point in time to a future point in time at which prediction is performed; and input the target input data and the prediction interval to a machine learning model trained using supervised training data including accumulated input data related to a disease at two or more points in time and a time interval of the input data, and cause the machine learning model to output a prediction result regarding the disease of the subject at the future point in time.

公开(公告)号：US20230260629A1

公开(公告)日：2023-08-17

申请号：US18191675

申请日：2023-03-28

Applicant: FUJIFILM Corporation

Inventor： Yuanzhong LI ,  Caihua WANG

IPC: G16H30/40 ,  G16H50/20 ,  G06T7/00

CPC classification number: G16H30/40 ,  G06T7/0012 ,  G16H50/20 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30016

Abstract: There is provided a diagnosis support device including a processor and a memory connected to or built in the processor, in which the processor is configured to: acquire a medical image; extract a plurality of anatomical regions of an organ from the medical image; input images of the plurality of anatomical regions to a plurality of feature amount derivation models prepared for each of the plurality of anatomical regions, and output a plurality of feature amounts for each of the plurality of anatomical regions from the feature amount derivation models; input the plurality of feature amounts which are output for each of the plurality of anatomical regions to a disease opinion derivation model, and output a disease opinion from the disease opinion derivation model; and present the opinion.

公开(公告)号：US20200175699A1

公开(公告)日：2020-06-04

申请号：US16776528

申请日：2020-01-30

Applicant: FUJIFILM Corporation

Inventor： Caihua WANG

IPC: G06T7/33 ,  G06T7/00 ,  A61B5/055 ,  A61B6/00 ,  G16H30/40

Abstract: A medical image processing apparatus having a processor configured to detect at least four reference landmarks among the left eye, the right eye, the diencephalon, the fornix, the corpus callosum, the left hippocampus, and the right hippocampus from a brain image, performs first registration including registration by similarity transformation using reference landmarks between the brain image and a standard brain image, and perform second registration by nonlinear transformation between the brain image and the standard brain image after the first registration.

公开(公告)号：US20170071504A1

公开(公告)日：2017-03-16

申请号：US15265386

申请日：2016-09-14

Applicant: FUJIFILM Corporation

Inventor： Caihua WANG

IPC: A61B5/06 ,  A61B1/04 ,  A61B1/267 ,  A61B1/00

Abstract: An image obtaining unit obtains actual endoscope images, and a virtual endoscope image generating unit generates virtual endoscope images including a plurality of virtual endoscope branch images. A corresponding virtual endoscope image determining unit obtains a plurality of actual endoscope images which were obtained within a predetermined amount of time before the endoscope reached its current position, compares the plurality of actual endoscope images and the plurality of virtual endoscope branch images, and determines a corresponding virtual endoscope image that corresponds to the branch structure closest to the current position of the endoscope, through which the endoscope has passed. A matching unit performs matching between each of a plurality of actual endoscope path images and a plurality of virtual endoscope path images for each of a plurality of paths. A position identifying unit identifies the current position of a leading end of the endoscope based on the results of matching.

Abstract translation: 图像获取单元获取实际的内窥镜图像，并且虚拟内窥镜图像生成单元生成包括多个虚拟内窥镜分支图像的虚拟内窥镜图像。 对应的虚拟内窥镜图像确定单元获取在内窥镜到达当前位置之前的预定时间内获得的多个实际内窥镜图像，比较多个实际内窥镜图像和多个虚拟内窥镜分支图像，并且确定 对应于与内窥镜的当前位置最接近的分支结构对应的虚拟内窥镜图像，内窥镜通过该对应虚拟内窥镜图像。 匹配单元针对多个路径中的每一个执行多个实际内窥镜路径图像中的每一个与多个虚拟内窥镜路径图像之间的匹配。 位置识别单元基于匹配结果来识别内窥镜的前端的当前位置。

公开(公告)号：US20240312011A1

公开(公告)日：2024-09-19

申请号：US18673322

申请日：2024-05-24

Applicant: FUJIFILM CORPORATION

Inventor： Caihua WANG

IPC: G06T7/00 ,  G06T7/11 ,  G06V10/44 ,  G16H50/20

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06V10/44 ,  G16H50/20 ,  G06T2207/10088 ,  G06T2207/30016

Abstract: An information processing apparatus includes a processor, in which the processor acquires a medical image showing an organ of a subject and disease-related data of the subject, subdivides the medical image into a plurality of patch images, uses a prediction model including a feature amount extraction unit that extracts a feature amount from the patch images and the disease-related data and a correlation information extraction unit that extracts at least correlation information between the plurality of patch images and correlation information between the plurality of patch images and the disease-related data, and inputs the patch images and the disease-related data to the prediction model and outputs a prediction result regarding a disease from the prediction model.

公开(公告)号：US20230222656A1

公开(公告)日：2023-07-13

申请号：US18187649

申请日：2023-03-21

Applicant: FUJIFILM Corporation

Inventor： Caihua WANG

IPC: G06T7/00 ,  G06T7/30 ,  G06V10/74 ,  G06V10/764 ,  G06V10/774

CPC classification number: G06T7/0012 ,  G06T7/30 ,  G06V10/761 ,  G06V10/764 ,  G06V10/774 ,  G06T2207/30016

Abstract: An image processing apparatus includes: a processor; and a memory connected to or built in the processor. The processor is configured to generate, as learning data used for training a machine learning model for medical images and examination results of medical examinations, new medical images from a first medical image and a second medical image among a plurality of the medical images according to a generation condition, and generate new examination results by performing calculation based on the generation condition on a first examination result of the medical examination corresponding to the first medical image and a second examination result of the medical examination corresponding to the second medical image.

公开(公告)号：US20200176120A1

公开(公告)日：2020-06-04

申请号：US16786977

申请日：2020-02-10

Applicant: FUJIFILM Corporation

Inventor： Caihua WANG ,  Keigo NAKAMURA

IPC: G16H50/30 ,  G16H30/40 ,  G16H10/60 ,  G06T7/00 ,  A61B5/00

Abstract: There are provided an information output apparatus, an information output method, and an information output program capable of outputting information effective for diagnosis or evaluation of dementia. In a case where a brain area having a high atrophy rate is input, the information output apparatus can output a test item highly relevant to the input brain area using a first table T1 that stores the relevance between a plurality of divided brain areas of a brain image and a plurality of test items of a dementia diagnostic test. In addition, in a case where a test item of interest is input, a brain area highly relevant to the input test item can be output.

公开(公告)号：US20200175745A1

公开(公告)日：2020-06-04

申请号：US16776530

申请日：2020-01-30

Applicant: FUJIFILM Corporation

Inventor： Caihua WANG ,  Keigo NAKAMURA ,  Noriaki IDA

IPC: G06T15/08 ,  G06T7/00 ,  G09G5/02 ,  G09G5/10 ,  G06T19/20 ,  G16H30/40 ,  G16H20/70 ,  G16H50/20 ,  A61B5/055 ,  A61B5/00 ,  A61B5/02 ,  A61B5/026

Abstract: A medical image display apparatus includes an image acquisition unit that receives an input of a three-dimensional brain image of a subject, a brain area division unit that divides the three-dimensional brain image of the subject into a plurality of brain areas, an image analysis unit that calculates an analysis value for each brain area from the three-dimensional brain image of the subject, a data acquisition unit that acquires information indicating a correspondence between the brain area and a function of the brain, a display unit, and a display controller that displays an image showing the brain image of the subject divided into the brain areas, a function of the brain corresponding to each of the brain areas, and the analysis value on the display unit in association with each other.