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公开(公告)号:US20240029252A1
公开(公告)日:2024-01-25
申请号:US18479817
申请日:2023-10-02
Applicant: FUJIFILM Corporation
Inventor: Akimichi ICHINOSE , Keigo Nakamura
CPC classification number: G06T7/0012 , G06T7/11 , G16H30/40 , G06T2207/30096
Abstract: A medical image apparatus acquires a medical image, information indicating a plurality of regions of interest included in the medical image, and an attribute of each of the plurality of regions of interest, selects at least one region of interest from among the plurality of regions of interest, and performs control to display information regarding a region of interest other than the selected region of interest based on an attribute of the selected region of interest.
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公开(公告)号:US20230068201A1
公开(公告)日:2023-03-02
申请号:US17892108
申请日:2022-08-21
Applicant: FUJIFILM Corporation
Inventor: Akimichi ICHINOSE
Abstract: A processor derives a first feature amount for each of a plurality of first objects included in first data by a first neural network, derives a second feature amount for second data including one or more second objects by a second neural network, specifies a first object candidate, which is paired with the second object, from among the plurality of first objects, estimates an attribute of a pair second object, which is paired with the first object candidate, based on the first object candidate, and trains at least one of the first neural network or the second neural network such that a difference between the estimated attribute of the pair second object and an attribute of the pair second object derived from the second data is reduced.
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公开(公告)号:US20230030794A1
公开(公告)日:2023-02-02
申请号:US17849692
申请日:2022-06-26
Applicant: FUJIFILM Corporation
Inventor: Akimichi ICHINOSE
Abstract: A processor derives a first feature amount for an object included in an image by a first neural network, and derives a second feature amount for a sentence including description of an object by a second neural network. The processor acquires each of a first attribute, which is an attribute of the object included in the image, and a second attribute, which is an attribute of the sentence. The processor trains the first and second neural networks such that, in a feature space to which first and second feature amounts belong, as relevance of a combination of the first and the second attributes is higher a distance between the derived first feature amount and second feature amount is smaller.
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公开(公告)号:US20210383164A1
公开(公告)日:2021-12-09
申请号:US17407179
申请日:2021-08-19
Applicant: FUJIFILM Corporation
Inventor: Akimichi ICHINOSE , Yoshiro KITAMURA
Abstract: A region specification apparatus specifies a region of an object which is included in an input image and which includes a plurality of subclass objects having different properties. The region specification apparatus includes a first discriminator that specifies an object candidate included in the input image. The first discriminator has a component configured to predict at least one of movement or transformation of a plurality of anchors according to the property of the subclass object and specify an object candidate region surrounding the object candidate.
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公开(公告)号:US20190236783A1
公开(公告)日:2019-08-01
申请号:US16248087
申请日:2019-01-15
Applicant: FUJIFILM Corporation
Inventor: Akimichi ICHINOSE
CPC classification number: G06T7/0016 , G06T5/50 , G06T7/11 , G06T7/337 , G06T2207/10028 , G06T2207/10081 , G06T2207/20081 , G06T2207/20212 , G06T2207/30061
Abstract: Provided are an image processing apparatus, an image processing method, and a program that can register a plurality of medical images with high accuracy.The image processing apparatus includes: an image acquisition unit that acquires a first medical image and a second medical image; an extraction unit that extracts a plurality of regions including a region of interest from each of the first medical image and the second medical image; a landmark region selection unit that selects a specific region which is a region common to the first medical image and the second medical image and is different from the region of interest as a landmark region; and a registration unit that performs rigid registration or linear registration, using the landmark region as a standard for registration, to generate a resultant image in which the first medical image and the second medical image have been superimposed.
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公开(公告)号:US20240331335A1
公开(公告)日:2024-10-03
申请号:US18587994
申请日:2024-02-27
Applicant: FUJIFILM Corporation
Inventor: Nobuyuki HIRAHARA , Akimichi ICHINOSE
IPC: G06V10/25
CPC classification number: G06V10/25
Abstract: A processor, derives a likelihood of a region of interest for each pixel of an input image via a first derivation model, and derives a predictive value representing a possibility that a specific finding is included in the input image from the input image and the likelihood of the region of interest via a second derivation model, in which the region of interest is a region serving as a basis for obtaining the predictive value.
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27.
公开(公告)号:US20240119750A1
公开(公告)日:2024-04-11
申请号:US18479108
申请日:2023-10-01
Applicant: FUJIFILM Corporation
Inventor: Akimichi ICHINOSE
CPC classification number: G06V30/18 , G06T7/0012 , G06V10/25 , G06T2207/20081 , G06T2207/20132 , G06T2207/30064 , G06V2201/07
Abstract: A method of generating a language feature extraction model that causes a computer to extract a feature from a text related to an image, includes that a system performs machine learning using training data including a first image, first position information related to a region of interest in the first image, and a first text that describes the region of interest to input the first text into a first model, which is the language feature extraction model, to cause the first model to output a first feature amount, input the first image and the first feature amount into a second model to cause the second model to estimate the region of interest, and train the first model and the second model such that an estimated region of interest output from the second model matches the region of interest of a correct answer indicated by the first position information.
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公开(公告)号:US20240037739A1
公开(公告)日:2024-02-01
申请号:US18338324
申请日:2023-06-20
Applicant: FUJIFILM Corporation
Inventor: Aya OGASAWARA , Akimichi ICHINOSE
IPC: G06T7/00
CPC classification number: G06T7/0012 , G06T2207/30096
Abstract: A processor derives a feature amount related to an input image based on first to nth (n≥2) derivation models, derives, via the first derivation model, a first feature amount based on the input image, and derives, via a kth (1
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29.
公开(公告)号:US20240029251A1
公开(公告)日:2024-01-25
申请号:US18479118
申请日:2023-10-02
Applicant: FUJIFILM Corporation
Inventor: Akimichi ICHINOSE
IPC: G06T7/00
CPC classification number: G06T7/0012 , G06T2207/20104 , G06T2207/20081
Abstract: A medical image analysis apparatus extracts a region having one or more preset physical features from a medical image, performs control to display information indicating the extracted region, receives information indicating a selected region from among the extracted regions, refers to data in which physical features are associated with disease names, and generates a comment on findings using the disease name associated with the physical features of the selected region.
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公开(公告)号:US20230225681A1
公开(公告)日:2023-07-20
申请号:US18176489
申请日:2023-03-01
Applicant: FUJIFILM Corporation
Inventor: Akimichi ICHINOSE , Keigo NAKAMURA
CPC classification number: A61B6/03 , A61B6/463 , G06T7/0012
Abstract: A processor superimposes and displays relevant information related to a medical image on the medical image so as to be switchable between display and hiding. The processor switches at least a part of the relevant information to be hidden in a case where another operation related to display or interpretation of the medical image is detected, the other operation being an operation other than a dedicated operation for switching between display and hiding of the relevant information while the relevant information is being displayed.
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