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公开(公告)号:US20250031943A1
公开(公告)日:2025-01-30
申请号:US18911552
申请日:2024-10-10
Applicant: OLYMPUS CORPORATION
Inventor: Hirokazu GODO , Yamato KANDA , Yukihiro SUGIMOTO
Abstract: An image processing apparatus includes a processor. The processor is configured to output second and third images corresponding to a continuous first image respectively to first and second routes, analyze the second image and output an analysis result, and generate a fourth image based on the third image and the analysis result and continuously output the fourth image. When acquiring the third image, the processor completes the generation of the fourth image before acquiring an analysis result by the second image generated based on a same first image as the first image, which is a generation source of the third image.
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42.
公开(公告)号:US20230005245A1
公开(公告)日:2023-01-05
申请号:US17939136
申请日:2022-09-07
Applicant: OLYMPUS CORPORATION
Inventor: Takehito HAYAMI , Makoto KITAMURA , Yamato KANDA
IPC: G06V10/774 , G06T7/00 , G06V10/772
Abstract: A training data generating system includes a processor. The processor acquires a plurality of medical images. The processor associates medical images with each other which are included in the plurality of medical images based on similarities of an imaging target to generate an associated image group including medical images associated with each other. The processor outputs, to a display, an application target image to be an image as an application target of representative training information based on the associated image group. The processor accepts input of representative contour information indicative of a contour of a specific region in the application target image as the representative training information. The processor applies contour information, as training information, to each medical image included in the associated image group based on the representative training information input to the application target image.
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公开(公告)号:US20220345659A1
公开(公告)日:2022-10-27
申请号:US17861628
申请日:2022-07-11
Applicant: OLYMPUS CORPORATION
Inventor: Yuya KAWABATA , Makoto KITAMURA , Akihiro KUBOTA , Yamato KANDA
Abstract: An image processing apparatus includes a processor. The processor receives endoscope images to be determined, in each of which an image of an inside of a body of a subject is picked up, determines whether or not an endoscope image for comparison concerning a predetermined inspection site, and the endoscope images to be determined are same or similar, determines whether or not an observation mode of each of the endoscope images to be determined is a condition suitable for automatic recording, and automatically records a predetermined number of the endoscope images to be determined in a recording unit, when the endoscope images to be determined and the endoscope image for comparison are determined to be the same or similar and when the observation mode is the condition suitable for automatic recording.
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44.
公开(公告)号:US20210327067A1
公开(公告)日:2021-10-21
申请号:US17355545
申请日:2021-06-23
Applicant: OLYMPUS CORPORATION
Inventor: Takehito HAYAMI , Yamato KANDA
Abstract: An endoscopic image processing apparatus includes a processor. The processor performs processing for acquiring lesion information including information indicating a position of a lesion region included in an endoscopic image, determines whether the lesion region is included in the endoscopic image, and performs processing for generating a display image for displaying one or more marks in at least one of N mark display regions set as regions as many as a maximum display number of the one or more marks, and generating the one or more marks indicating in which reference region among a predetermined plurality of reference regions set in the endoscopic image a present position of the lesion region or a position of the lesion region immediately before the detection is interrupted is included and displaying the one or more marks in at least one of the N mark display regions.
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公开(公告)号:US20210274999A1
公开(公告)日:2021-09-09
申请号:US17329446
申请日:2021-05-25
Applicant: OLYMPUS CORPORATION
Inventor: Akihiro KUBOTA , Katsuyoshi TANIGUCHI , Yamato KANDA , Mitsutaka KIMURA
IPC: A61B1/00 , G06T7/70 , G06T7/62 , G06T7/50 , G06T7/20 , G06T11/00 , H04N7/18 , G06T7/00 , G08B5/22
Abstract: A processor of an endoscope system detects from the observation images a lesion area which is an observation target of the endoscope, judges a level of an oversight risk which is a risk that an operator may overlook the lesion area, on the basis of the observation images, and controls notification methods of detection of the lesion area on the basis of the level of the oversight risk. The processor displays the marker image indicating the lesion area only in a second image region of the display apparatus when a level of the oversight risk relating to the lesion area is a first level and displays the marker image in both a first image region and the second image region which is smaller than the first image region when a level of the oversight risk relating to the lesion area is a second level higher than the first level.
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公开(公告)号:US20210012886A1
公开(公告)日:2021-01-14
申请号:US16936503
申请日:2020-07-23
Applicant: OLYMPUS CORPORATION
Inventor: Akihiro KUBOTA , Makoto KITAMURA , Yamato KANDA , Katsuyoshi TANIGUCHI
Abstract: An image processing apparatus includes an input circuit to which an image acquired by medical equipment is sequentially inputted and a processor. The processor detects a lesion candidate in the image, discriminates the lesion candidate detected and outputs discrimination information, when two or more lesion candidates are detected in the image, selects a discrimination object lesion candidate which is a discrimination object based on information on distance between the medical equipment and the lesion candidates, and outputs position information and discrimination information of the discrimination object lesion candidate together with the image.
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47.
公开(公告)号:US20200090548A1
公开(公告)日:2020-03-19
申请号:US16686284
申请日:2019-11-18
Applicant: OLYMPUS CORPORATION
Inventor: Mitsutaka KIMURA , Takashi KONO , Yamato KANDA
Abstract: An image processing apparatus includes a processor including hardware. The processor is configured to evaluate, based on information including an image which is captured by an endoscope and is sequentially input, a technical level of an operator who operates the endoscope, and measure a transit time of a specific section.
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48.
公开(公告)号:US20200054400A1
公开(公告)日:2020-02-20
申请号:US16662373
申请日:2019-10-24
Applicant: OLYMPUS CORPORATION
Inventor: Takehito HAYAMI , Yamato KANDA , Takashi KONO
Abstract: An image processing apparatus includes a processor including hardware, the processor being configured to: estimate, based on image information from a medical device that includes at least an endoscope, a plurality of procedure actions of an operator of the endoscope; perform different supports respectively for procedures by the operator, according to an estimation result of the procedure actions; and output a display for the supports to a display.
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49.
公开(公告)号:US20190150848A1
公开(公告)日:2019-05-23
申请号:US16237838
申请日:2019-01-02
Applicant: OLYMPUS CORPORATION
Inventor: Takehito HAYAMI , Yamato KANDA , Takashi KONO
Abstract: An image processing apparatus includes: a processor comprising hardware, the processer being configured to execute: setting, in an image, an area of interest where classification is evaluated; calculating surface layer structure information representing a surface layer structure in the area of interest; calculating at least focus degrees of the outside of the area of interest in the image; and classifying the image based on the surface layer structure information and the focus degrees of the outside of the area of interest.
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公开(公告)号:US20190117167A1
公开(公告)日:2019-04-25
申请号:US16217161
申请日:2018-12-12
Applicant: OLYMPUS CORPORATION
Inventor: Toshiya KAMIYAMA , Yamato KANDA
Abstract: An image processing apparatus includes: a memory; and a processor comprising hardware, the processor being configured to output a result of classifying an image group to be classified based on a result of main learning performed based on a result of preliminary learning and a target image group to be learned, the preliminary learning being performed based on a similar image group similar in at least one of characteristics of a shape of an object in the target image group, a tissue structure of an object in the target image group, and an imaging system of a device that captures the target image group, wherein the similar image group is different from the image group to be classified in the main learning.
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