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公开(公告)号：US20220122253A1
公开(公告)日：2022-04-21
申请号：US17565412
申请日：2021-12-29
Applicant: FUJIFILM Corporation
Inventor： Tsubasa GOTO , Caihua WANG
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.
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2.发明申请IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD AND IMAGE PROCESSING PROGRAM 有权图像处理设备，图像处理方法和图像处理程序公开(公告)号：US20140294274A1
公开(公告)日：2014-10-02
申请号：US14307405
申请日：2014-06-17
Applicant: FUJIFILM Corporation
Inventor： Caihua WANG
IPC: G06T7/00
CPC classification number: G06T7/0014 , A61B6/5229 , A61B8/5238 , G01R33/5608 , G06T7/32 , G06T7/35 , G06T2207/10081 , G06T2207/10104 , G06T2207/20076 , G06T2207/30016
Abstract: A first image and a second image obtained by imaging the same subject with different types of modalities are obtained. The first image is deformed, and similarity between the deformed first image and the second image is evaluated by an evaluation function that evaluates correlation between distributions of corresponding pixel values of the two images to estimate an image deformation amount of the first image. Based on the estimated image deformation amount, a deformed image of the first image is generated. The evaluation function includes a term representing a measure of correlation between a pixel value of the deformed first image and a corresponding pixel value of the second image, wherein the term evaluates the correlation based on probability information that indicates a probability of each combination of corresponding pixel values of the first image and the second image.
Abstract translation: 获得通过用不同类型的模态对相同被摄体进行成像而获得的第一图像和第二图像。 第一图像变形，并且通过评估两个图像的相应像素值的分布之间的相关性的评估函数来评估变形的第一图像和第二图像之间的相似度，以估计第一图像的图像变形量。 基于估计的图像变形量，生成第一图像的变形图像。 评估函数包括表示变形的第一图像的像素值与第二图像的对应像素值之间的相关性的度量的项，其中该项根据表示相应像素的每个组合的概率的概率信息来估计相关性 第一图像和第二图像的值。
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公开(公告)号：US20240312576A1
公开(公告)日：2024-09-19
申请号：US18673319
申请日：2024-05-24
Applicant: FUJIFILM CORPORATION
Inventor： Caihua WANG
IPC: G16H10/20
CPC classification number: G16H10/20
Abstract: A clinical trial support apparatus includes a processor, in which the processor predicts a progression speed of a target disease for subjects of a clinical trial, divides the subjects into a plurality of groups according to a prediction result of the progression speed of the target disease, and allocates the subjects to a treatment group to which a test drug is administered and a placebo group to which a placebo is administered for each of the plurality of groups.
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公开(公告)号：US20230222675A1
公开(公告)日：2023-07-13
申请号：US18184690
申请日：2023-03-16
Applicant: FUJIFILM Corporation
Inventor： Caihua WANG
CPC classification number: G06T7/30 , G06T7/0012 , G06V10/761 , G06V10/764 , G16H30/40 , G16H50/20 , G06T2207/10088 , G06T2207/20081 , 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 perform non-linear registration processing on a first medical image and a second medical image among a plurality of medical images, and generate at least one new medical image that is used for training a machine learning model for the medical images by transforming at least one medical image of the first medical image or the second medical image based on a result of the non-linear registration processing.
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5.发明申请公开(公告)号：US20200184649A1
公开(公告)日：2020-06-11
申请号：US16792322
申请日：2020-02-17
Applicant: FUJIFILM Corporation
Inventor： Caihua WANG
Abstract: In a medical image processing apparatus, a medical image processing method, and a medical image processing program, in a case where there are a plurality of past brain images, it is possible to select a past brain image with which the atrophy rate of the brain can be accurately calculated. An image acquisition unit acquires a target brain image Bt as a diagnostic target and a plurality of past brain images Bpi, which have earlier imaging dates and times than the target brain image Bt, for the same subject. A similarity calculation unit calculates the similarity between each of the plurality of past brain images Bpi and a standard brain image Bs. A selection unit selects a reference brain image B0 serving as a reference for calculating the amount of change of the brain from the plurality of past brain images Bpi.
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Patent Agency Ranking
6.发明公开公开(公告)号：US20240120038A1
公开(公告)日：2024-04-11
申请号：US18389695
申请日：2023-12-19
Applicant: FUJIFILM Corporation
Inventor： Caihua WANG
Abstract: A medical support device includes: a processor; and a memory connected to or built into the processor, and the processor acquires target input data which is input data related to a disease of a subject candidate for a clinical trial of a drug, and a clinical trial period, inputs the target input data and the clinical trial period 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 causes the machine learning model to output a prediction result regarding the disease of the subject candidate in the clinical trial period, and outputs selection reference information for determining whether or not to select the subject candidate as a subject for the clinical trial, according to the prediction result.
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7.发明公开公开(公告)号：US20230230261A1
公开(公告)日：2023-07-20
申请号：US18186219
申请日：2023-03-20
Applicant: FUJIFILM Corporation
Inventor： Caihua WANG , Yuanzhong LI
CPC classification number: G06T7/30 , A61B5/4842 , G06T7/0014 , G16H30/20 , G06T2207/10088 , G06T2207/30016
Abstract: A diagnosis support device includes a processor and a memory connected to or built in the processor. The processor is configured to perform non-linear registration processing of a target image which is a medical image to be analyzed and at least one representative image generated from a plurality of medical images, input at least one of transformation amount information of the target image obtained by the non-linear registration processing or a feature amount derived from the transformation amount information to a disease opinion derivation model, and output a disease opinion from the disease opinion derivation model.
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公开(公告)号：US20210358126A1
公开(公告)日：2021-11-18
申请号：US17388022
申请日：2021-07-29
Applicant: FUJIFILM Corporation
Inventor： Tsubasa GOTO , Caihua WANG
IPC: G06T7/00 , G16H30/20 , G16H30/40 , G16H10/60 , G16H50/20 , G16H50/30 , G16H50/50 , G16H50/70 , G16H10/40 , G16H10/20 , G16H15/00 , G06N20/00
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.
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9.发明申请公开(公告)号：US20200167939A1
公开(公告)日：2020-05-28
申请号：US16776527
申请日：2020-01-30
Applicant: FUJIFILM Corporation
Inventor： Caihua WANG , Jun MASUMOTO
Abstract: A brain image normalization apparatus, having a processor configured to: detect at least four reference landmarks of a left eye, a right eye, a diencephalon, a fornix, a corpus callosum, a left hippocampus, and a right hippocampus from a brain image including a brain of a subject; perform registration between the detected reference landmarks and reference landmarks corresponding to the detected reference landmarks included in a standard brain image; and normalize the brain image based on a result of the registration.
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10.发明申请IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM 有权图像处理设备，图像处理方法和图像处理程序公开(公告)号：US20140301623A1
公开(公告)日：2014-10-09
申请号：US14309482
申请日：2014-06-19
Applicant: FUJIFILM Corporation
Inventor： Caihua WANG
IPC: G06T7/00
CPC classification number: G06T7/0012 , A61B5/0042 , A61B5/055 , A61B6/501 , A61B6/5235 , A61B2576/00 , A61B2576/026 , G06T3/0093 , G06T7/337 , G06T2207/10081 , G06T2207/20021 , G06T2207/30016
Abstract: A first image and a second image are obtained; the amount of deformation of the first image is estimated by evaluating the degree of similarity between a deformed first image and the second image, using an evaluation function that evaluates the correlation between the distribution of corresponding pixel values within the two images; and an image, which is the first image deformed based on the estimated amount of deformation, is generated. The evaluation function evaluates the degree of similarity between the deformed first image and the second image, based on degrees of similarities of divided images that represent degrees of similarities among the distributions of pixel values of each pair of divided first images and divided second images, which respectively are images that the deformed first image is divided into and images that the second image is divided into, according to predetermined dividing conditions.
Abstract translation: 获得第一图像和第二图像; 使用评估两个图像内的相应像素值的分布之间的相关性的评估函数，评估变形的第一图像和第二图像之间的相似度，来估计第一图像的变形量; 并且生成基于估计的变形量而变形的第一图像的图像。 评估函数基于表示每对划分的第一图像和分割的第二图像的像素值的分布之间的相似度的分割图像的相似度的程度来评估变形的第一图像和第二图像之间的相似度，其中 分别是根据预定的划分条件将变形的第一图像划分成第二图像和图像的图像。
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