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公开(公告)号:US20240379203A1
公开(公告)日:2024-11-14
申请号:US18657644
申请日:2024-05-07
Applicant: FUJIFILM CORPORATION
Inventor: Akimichi ICHINOSE
IPC: G16H15/00
Abstract: A processor is configured to: acquire a plurality of medical documents having different creation times; specify mutually corresponding descriptions in each of one medical document among the plurality of medical documents and at least one other medical document other than the one medical document; display the one medical document on a display; receive designation of a character string for the one medical document; and display a description of the at least one other medical document corresponding to a description including the designated character string in a manner different from other descriptions other than the description corresponding to the description including the designated character string.
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公开(公告)号:US20240078791A1
公开(公告)日:2024-03-07
申请号:US18509243
申请日:2023-11-14
Applicant: FUJIFILM Corporation
Inventor: Akimichi ICHINOSE
IPC: G06V10/77 , G06V10/75 , G06V10/764 , G06V10/774
CPC classification number: G06V10/7715 , G06V10/751 , G06V10/764 , G06V10/774
Abstract: A learning unit uses a learning input image and local annotation data generated by locally giving labels to regions of classes in the learning input image as training data for a region extraction model. The learning unit directs the region extraction model to output a final feature amount map having element values related to probabilities of being the regions of the classes. Then, a sharpening process is performed on a probability distribution map that has been generated on the basis of the final feature amount map and that shows the probability for each class to obtain a processed probability distribution map. The learning unit calculates an average value of pixel values of the boundary image generated based on the processed probability distribution map as a boundary length loss, and updates the region extraction model in a direction in which the average value is reduced.
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公开(公告)号:US20230281810A1
公开(公告)日:2023-09-07
申请号:US18314796
申请日:2023-05-09
Applicant: FUJIFILM Corporation
Inventor: Akimichi ICHINOSE , Keigo NAKAMURA
CPC classification number: G06T7/0012 , G06T19/20 , G06F1/1601 , G06T2207/10072 , G06F2200/16 , G06T2207/20212 , G06T2207/20104
Abstract: A processor superimposes and displays relevant information related to each of a plurality of regions of interest included in a medical image on the medical image to be switchable between display and hiding, specifies at least one region of attention based on specification information including other information other than information dedicated to specifying regions of attention that a user pays attention to among the plurality of regions of interest, and switches to display relevant information related to the specified region of attention.
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公开(公告)号:US20220392619A1
公开(公告)日:2022-12-08
申请号:US17887497
申请日:2022-08-14
Applicant: FUJIFILM Corporation
Inventor: Akimichi ICHINOSE
Abstract: An information processing apparatus includes at least one processor, and the processor derives a property for at least one predetermined property item which is related to a structure of interest included in an image. The processor specifies a basis region serving as a basis for deriving the property related to the structure of interest for each property item and derives a basis image including the basis region.
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公开(公告)号:US20220277577A1
公开(公告)日:2022-09-01
申请号:US17748017
申请日:2022-05-18
Applicant: FUJIFILM Corporation
Inventor: Akimichi ICHINOSE
IPC: G06V30/416 , G06V30/18 , G06V30/19 , G06V30/12
Abstract: A document creation support apparatus comprising at least one processor, wherein the processor is configured to: acquire an image and a character string related to the image; extract at least one feature region included in the image; specify a specific region that is a region corresponding to a phrase included in the character string, in the feature region; and present information for supporting creation of a document including the character string based on a result of the specifying.
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公开(公告)号:US20200342606A1
公开(公告)日:2020-10-29
申请号:US16927977
申请日:2020-07-13
Applicant: FUJIFILM Corporation
Inventor: Akimichi ICHINOSE
Abstract: Provided are an image processing apparatus, an image processing method, and a program that can collect high-quality correct answer data used for machine learning with a simple method. The image processing apparatus includes: a first extractor that extracts a measurement target region from a medical image, using a result of learning performed using correct answer data of the measurement target region; a measurement object determination unit that determines a measurement object used to measure the measurement target region; a measurement object correction unit that corrects the measurement object in response to a command from a user; and a measurement target region correction unit that corrects the measurement target region extracted by the first extractor, using a correction result of the measurement object. The first extractor performs learning using the measurement target region corrected by the measurement target region correction unit as correct answer data.
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公开(公告)号:US20240127570A1
公开(公告)日:2024-04-18
申请号:US18481198
申请日:2023-10-04
Applicant: FUJIFILM Corporation
Inventor: Taro HATSUTANI , Akimichi ICHINOSE
CPC classification number: G06V10/25 , G06T7/0012 , G06T7/50 , G06T7/62 , G06T2207/30096 , G06V2201/07
Abstract: An image analysis apparatus, an image analysis method, and a program for specifying a region of interest from an image in which an arrow is assigned to the region of interest are provided.
The above problem is solved by an image analysis apparatus including at least one processor, and at least one memory in which an instruction to be executed by the at least one processor is stored, in which the at least one processor is configured to receive an image in which an arrow is assigned to a region of interest, specify the arrow, dispose one or more region-of-interest candidates that are candidates of the region of interest in accordance with a direction of the arrow and with a distance from the arrow, calculate an interest degree for each region-of-interest candidate, and specify the region of interest from among the region-of-interest candidates based on the interest degree.-
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公开(公告)号:US20240096086A1
公开(公告)日:2024-03-21
申请号:US18466000
申请日:2023-09-13
Applicant: FUJIFILM Corporation
Inventor: Taro HATSUTANI , Akimichi ICHINOSE
CPC classification number: G06V10/945 , G06T7/0012 , G06T11/60 , G06V10/7715 , G16H30/40 , G06T2200/24 , G06T2207/20081 , G06T2207/20084 , G06T2207/20092 , G06T2207/30096 , G06V2201/03
Abstract: An information processing apparatus comprising at least one processor, wherein the processor is configured to: acquire an image; display, on a display, a figure indicating a first region of interest included in the image in a superimposed manner on the image; receive a correction instruction for at least a part of the figure; and specify a second region of interest that at least partially overlaps with the first region of interest based on an image feature of the image and the correction instruction.
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公开(公告)号:US20240095915A1
公开(公告)日:2024-03-21
申请号:US18466830
申请日:2023-09-14
Applicant: FUJIFILM Corporation
Inventor: Taro HATSUTANI , Akimichi ICHINOSE
IPC: G06T7/00
CPC classification number: G06T7/0012 , G06T2207/20081 , G06T2207/30096
Abstract: An information processing apparatus comprising at least one processor, wherein the processor is configured to: acquire a medical image including a plurality of lesion regions; specify a plurality of pieces of first findings information for each of the plurality of lesion regions; and specify second findings information for at least one lesion region among the plurality of lesion regions based on a combination of the plurality of pieces of first findings information.
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公开(公告)号:US20230054096A1
公开(公告)日:2023-02-23
申请号:US17884525
申请日:2022-08-09
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, structures a sentence including description of the object included in the image to derive structured information for the sentence, and derives a second feature amount for the sentence from the structured information by a second neural network. The processor trains the first neural network and the second neural network such that, in a feature space to which the first feature amount and the second feature amount belong, a distance between the derived first feature amount and second feature amount is reduced in a case in which the object included in the image and the object described in the sentence correspond to each other.
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