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公开(公告)号:US11800967B2
公开(公告)日:2023-10-31
申请号:US17167328
申请日:2021-02-04
Applicant: OLYMPUS CORPORATION
Inventor: Makoto Kitamura , Yamato Kanda , Katsuyoshi Taniguchi
CPC classification number: A61B1/00006 , A61B1/0005 , A61B1/000094 , A61B1/000095 , A61B1/000096 , G06N20/00
Abstract: An endoscopic image processing apparatus includes a processor having a lesion recognizing function capable of recognizing a lesioned part included in an image generated by applying predetermined processing. The processor has the lesion recognizing function implemented by performing machine learning using, as a plurality of learning images, a plurality of past observation images generated through the predetermined processing, and the processor performs conversion processing for converting, based on a setting value for learning image equivalent to a past setting value for observation image used in the predetermined processing performed at generation of each of the plurality of learning images, the image into an image for lesion recognition used for processing corresponding to the lesion recognizing function.
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公开(公告)号:US11553828B2
公开(公告)日:2023-01-17
申请号:US16745487
申请日:2020-01-17
Applicant: OLYMPUS CORPORATION
Inventor: Takashi Kono , Makoto Kitamura , Hirokazu Godo , Toshiya Kamiyama , Katsuyoshi Taniguchi , Yamato Kanda
Abstract: A diagnosis support apparatus performs identification for a plurality of support items, which are identification classifications about diagnosis support, and the diagnosis support apparatus is provided with a processor. The processor performs analysis processing for acquiring analysis results including an analysis result about an observation mode by analyzing at least one of an input signal specifying the observation mode and an observation image obtained by observing an inside of a subject with an endoscope; performs support item setting processing for setting a support item corresponding to the analysis results obtained by the analysis processing, among the plurality of support items, which are the identification classifications; and generates diagnosis support information, which is information used for diagnosis of a legion candidate area included in the observation image, based on an identification index corresponding to the set support item and the observation image.
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3.
公开(公告)号:US10198811B2
公开(公告)日:2019-02-05
申请号:US15267888
申请日:2016-09-16
Applicant: OLYMPUS CORPORATION
Inventor: Toshiya Kamiyama , Yamato Kanda , Makoto Kitamura
IPC: G06T7/00
Abstract: An image processing apparatus includes: a detecting unit that detects regions of interest that are estimated as an object to be detected, from a group of a series of images acquired by sequentially imaging a lumen of a living body, and to extract images of interest including the regions of interest; a neighborhood range setting unit that sets, as a time-series neighborhood range, a neighborhood range of the images of interest in the group of the series of images arranged in time series so as to be wider than an interval between images that are continuous in time series in the group of the series of images; an image-of-interest group extracting unit that extracts an image-of-interest group including identical regions of interest from the extracted images of interest, based on the time-series neighborhood range; and a representative-image extracting unit that extracts a representative image from the image-of-interest group.
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4.
公开(公告)号:US09959481B2
公开(公告)日:2018-05-01
申请号:US14830893
申请日:2015-08-20
Applicant: OLYMPUS CORPORATION
Inventor: Makoto Kitamura , Yamato Kanda , Toshiya Kamiyama
CPC classification number: G06K9/46 , G01B11/14 , G06K9/52 , G06K9/6215 , G06K2009/4666 , G06T7/0012 , G06T7/50 , G06T2207/10024 , G06T2207/10068 , G06T2207/30101
Abstract: An image processing apparatus for processing an image acquired by imaging a living body includes: a blood vessel candidate region extraction unit configured to extract a plurality of blood vessel candidate regions from the image; an identical blood vessel candidate region extraction unit configured to extract, from among the plurality of blood vessel candidate regions, a blood vessel candidate region group estimated to form a line shape when integrated, as an identical blood vessel candidate region; an evaluation value calculation unit configured to calculate one or more kinds of evaluation values for evaluating a likelihood that the identical blood vessel candidate region corresponds to an identical blood vessel; and a blood vessel region discrimination unit configured to discriminate whether or not the identical blood vessel candidate region forms an identical blood vessel region, based on the evaluation values.
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公开(公告)号:US11656451B2
公开(公告)日:2023-05-23
申请号:US17140609
申请日:2021-01-04
Applicant: OLYMPUS CORPORATION
Inventor: Takehito Hayami , Yamato Kanda , Makoto Kitamura , Akihiro Kubota
CPC classification number: G02B23/2446 , G02B23/2484 , G06T7/0012 , G06T2207/10068
Abstract: An image processing apparatus for endoscope includes a processor. The processor sequentially receives a plurality of observation images of an endoscope, detects one or more lesioned parts from each of the plurality of observation images, analyzes visibility of at least one of a distance from the endoscope, an occupied area, a shape, a size, a position in the observation image, a color, luminance, or an organ part relating to the detected lesioned part, sets a display extension time of a detection result of the lesioned part according to the visibility, and outputs the observation image to which the detection result of the lesioned part is added.
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6.
公开(公告)号:US10456009B2
公开(公告)日:2019-10-29
申请号:US15817492
申请日:2017-11-20
Applicant: OLYMPUS CORPORATION
Inventor: Toshiya Kamiyama , Makoto Kitamura , Mitsutaka Kimura
Abstract: An image processing apparatus includes: a candidate region detection unit configured to detect, from an image acquired by imaging inside a lumen of a living body, a candidate region for a specific region that is a region where a specific part in the lumen has been captured; a candidate region information acquiring unit configured to acquire information related to the candidate region detected by the candidate region detection unit; an identification means determination unit configured to determine an identification means for identification of, based on the information related to the candidate region, whether or not the candidate region is the specific region; and an identification unit configured to identify whether or not the candidate region is the specific region by using the identification means determined by the identification means determination unit.
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公开(公告)号:US10395092B2
公开(公告)日:2019-08-27
申请号:US15877558
申请日:2018-01-23
Applicant: OLYMPUS CORPORATION
Inventor: Toshiya Kamiyama , Makoto Kitamura
Abstract: A processing device includes a processor including hardware. The processor is configured to implement an image acquisition process of acquiring a tissue image obtained by capturing an image of a tissue and a process of determining a property of the tissue image acquired, and setting a plurality of identification criteria for identifying a state of the tissue as a normal state or an abnormal state, based on the tissue image and the property of the tissue image.
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公开(公告)号:US10229498B2
公开(公告)日:2019-03-12
申请号:US15649700
申请日:2017-07-14
Applicant: OLYMPUS CORPORATION
Inventor: Makoto Kitamura , Toshiya Kamiyama
Abstract: An image processing device includes: a specific candidate area extracting unit configured to extract a specific candidate area that satisfies a predetermined condition from an intraluminal image captured inside a body lumen; a reference area setting unit configured to set a reference area that includes at least a part of the specific candidate area; a local area extracting unit configured to extract local areas based on the reference area; a local feature data calculator configured to calculate local feature data that is feature data of each of the local areas; a weight setting unit configured to set a weight depending on each of the local areas based on the specific candidate area; and a feature data integrating unit configured to integrate the local feature data.
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公开(公告)号:US10223785B2
公开(公告)日:2019-03-05
申请号:US15263421
申请日:2016-09-13
Applicant: OLYMPUS CORPORATION
Inventor: Makoto Kitamura , Yamato Kanda
Abstract: An image processing apparatus includes: a detection unit configured to detect images of interest including regions of interest that are estimated as an object to be detected, from a group of a series of images acquired by sequentially imaging a lumen of a living body; an image-of-interest group extracting unit configured to extract a group of images of interest including an identical region of interest, from the images of interest detected by the detection unit; and a representative image extracting unit configured to extract one or more representative images from the group of images of interest, based on at least one of correlation of the regions of interest with the object to be detected, and visibility of the regions of interest.
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10.
公开(公告)号:US09959618B2
公开(公告)日:2018-05-01
申请号:US15267544
申请日:2016-09-16
Applicant: OLYMPUS CORPORATION
Inventor: Makoto Kitamura , Yamato Kanda
CPC classification number: G06T7/0012 , A61B1/00009 , A61B1/0005 , A61B1/041 , A61B5/02042 , A61B5/4216 , A61B5/4233 , A61B5/4238 , A61B5/4255 , A61B2576/02 , G06T7/0016 , G06T7/73 , G06T7/90 , G06T2207/10016 , G06T2207/10024 , G06T2207/10068 , G06T2207/30101
Abstract: An image processing apparatus includes: a detecting unit configured to detect images of interest including regions of interest that are estimated as an object to be detected, from a group of a series of images acquired by sequentially imaging a lumen of a living body; a global similarity calculating unit configured to calculate a global similarity that is a similarity between regions including at least regions other than the regions of interest, between the images of interest different from one another; an image-of-interest group extracting unit configured to extract an image-of-interest group including identical regions of interest, in accordance with comparison between a threshold and the global similarity or a determination parameter based on the global similarity; and a representative image extracting unit configured to extract a representative image from the image-of-interest group.
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