Olympus Corporation

Olympus Medical Systems Corporation

Olympus Optical Company, Ltd.

Mitsubishi Hitachi Power Systems, Ltd.

Nikken Kogaku Co., Ltd

Ajinomoto Co., Ltd.

Hirokazu Nishimura

Jun Hasegawa

Kazuhiro Sato

Kenichi Tanaka

Kenji Nakamura

Hideki Tanaka

Tetsuo Nonami

Ryoko Inoue

Miho Sawa

Sawako Shibata

Kenji Yamazaki

Masakazu Nakamura

Ryo Tezuka

Yusuke Tomoto

Tadakazu Sakaguchi

Masaki Kobayashi

Akira Taniguchi

Masahiro Yamaguchi

Nagaaki Ohyama

Katsumi Hirakawa

Takeshi Takahashi

Yasushi Okoshi

Tatsuru Tabohashi

Kei Kikuchi

Katsuyoshi Ishibashi

Isao Tateshita

Yasuhiro Kaneko

Tetsuo Nomami

Kenji Kasama

Takaharu Hosoi

Takaki Yukimoto

Kohei Yada

Seishi Tokunaga

Chizuru Tara

Toshiro Baba

Ryoko Inque

Hideki c/o Olympus Corporation Tanaka

An image acquisition unit acquires an endoscopic image imaged by an endoscope inserted inside a subject. An operation detail determination unit determines one or more operation details from among a predetermined plural number of operation details based on the endoscopic image acquired in the image acquisition unit. An operation control unit controls a movement of the endoscope based on the determined operation details. An operation detail determination unit determines one or more operation details by inputting input data acquired from the endoscopic image acquired in the image acquisition unit to one or more into operation selection models generated by machine learning using, as training data, an image for learning, which is an endoscopic image imaged in the past, and a label indicating an operation detail for an endoscope that has imaged the image for learning.

Endoscope control apparatus, endoscope control method, and storage medium storing a program

A flexible tube insertion support apparatus includes a generation section configured to generate propriety information regarding a propriety of a twisting operation of a flexible tube in accordance with a force quantity of an external force applied to the flexible tube when the flexible tube is twisted in a counterclockwise direction or a clockwise direction around a central axis of the flexible tube. The external force is detected by at least one external force detector that is disposed on the flexible tube to be inserted into the subject and configured to detect the external force. The flexible tube insertion support apparatus also includes an output section configured to output the propriety information generated by the generation section.

Flexible tube insertion support apparatus, flexible tube insertion apparatus, and flexible tube insertion method

A flexible tube insertion apparatus includes a flexible tube having flexibility and configured to be inserted into an object to be inserted, one or more external force detectors disposed on the flexible tube and configured to detect a force of an external force applied to the flexible tube when the flexible tube is twisted in at least one direction, and a providing device configured to provide twisting information regarding a twisting direction of the flexible tube for releasing a loop section formed in the flexible tube, according to a direction in which the flexible tube is twisted and the detected force of the external force.

Flexible tube insertion apparatus and flexible tube insertion method

A playback processing unit causes a display device to display an endoscopic image recorded in an endoscopic image recording unit. A display time setting unit sets a display time of endoscopic images displayed by the playback processing unit on the display device in the order of imaging. A display time measurement unit measures the display time of each endoscopic image. A time information storage unit stores information related to the display time measured by the display time measurement unit. An acknowledgment unit acknowledges a user operation input. The playback processing unit causes the display device to display the endoscopic image in accordance with the user operation input acknowledged by the acknowledgment unit. The time information storage unit stores information related to a cumulative display time of each endoscopic image.

Endoscopic image observation support system

An examination schedule management unit manages an examination schedule of a plurality of endoscopic examinations, including an examination room, information on scheduled examination start time, that on scheduled examination end time, and examination type information on examination contents. A cleaning schedule management unit manages a cleaning schedule of a plurality of endoscopes, including a cleaning machine, information on scheduled cleaning start time, and that on scheduled cleaning end time. An endoscope assignment unit assigns an endoscope to an endoscopic examination. A cleaning machine assignment unit assigns a cleaning machine for cleaning an endoscope assigned to the endoscopic examination.

Endoscopic examination work support system

A method of manufacturing a tube, and a tube, the method comprising the steps of: coupling in position a first tube body and a second tube body by inserting a first insert portion of a connecting pin into an end portion of a first hole of the first tube body and inserting a second insert portion into an end portion of a first hole of the second tube body; welding all around an outer circumferential portion of the coupled portion of the first tube body and the second tube body and all around an inner circumferential portion of the first holes in which the connecting pin is inserted; and removing the connecting pin remaining inside the first hole of the first tube body and the first hole of the second tube body.

Method of manufacturing tube, and tube

A filtering unit applies a filter for suppressing a high-frequency component to a second image generated by performing image processing including at least enlargement processing on a first image captured by using an endoscope. An image reducing unit generates a third image by performing reduction processing on the second image to which the filter has been applied. A filter setting unit sets a characteristic of a filter based on information on a maximum frequency component that can be reproduced in at least the first image and information on a maximum frequency component that should be reproduced in the third image.

Image processing apparatus to generate a reduced image of an endoscopic image

In order to reduce the amount of an organism attractant substance remaining inside concrete that tends be used wastefully and also to allow the organism attractant substance to effectively flow out gradually in a long period of time, an environmentally active, preserving and repairing-use concrete block is provided in which the air content and flowability of the concrete are increased, and the congregating and growing effects for fishes and shellfishes and the adhering and growing effects for algae are maintained so that a high attractant effect by odor of the organism attractant substance is obtained. An environmentally active preserving and repairing-use concrete block is provided with at least three or more legs, and in this structure the environmentally active preserving and repairing-use concrete block is formed by using an environmentally active preserving and repairing-use concrete having high air content and high flowability formed by kneading an organism attractant substance having a specific odor therein.

Environmentally active concrete

An image processing apparatus includes a feature value calculating section that calculates a feature value from an image picked up of a living mucous membrane, an extraction section that extracts a structure corresponding to the feature value, and a region division section that divides the structure into partial regions according to a predetermined condition.

Image processing apparatus and method of operation of image processing appartus

A medical image processing device includes an input section to which a biological mucous membrane image obtained by picking up an image of a biological mucous membrane is inputted, a region extracting section that extracts a mucous membrane microstructure region corresponding to a mucous membrane microstructure from the inputted biological mucous membrane image, a closed region identifying section that identifies at least one closed region regarded as being surrounded by the mucous membrane microstructure region, and a unit region setting section that sets a biologically histological unit region on the basis of the mucous membrane microstructure region and the closed region.

Medical image processing device

An image processing apparatus is provided with: a first feature value calculating section calculating a first feature value for each of pixels constituting an image obtained by picking up an image of a subject; a region dividing section dividing the image into multiple regions on the basis of the first feature values; a second feature value calculating section calculating a second feature value for each of the divided regions; a classification section performing classification with regard to which of multiple kinds of attributes each region of the multiple regions has, on the basis of the second feature value; a judgment section judging whether a region having a predetermined attribute exists or not; and a diagnostic support information calculating section correcting an attribute value of the region having the predetermined attribute to calculate diagnostic support information for supporting a diagnosis.

Image processing apparatus

A medical image processing apparatus includes a selection portion that selects a pixel of interest from an image composed of a plurality of pixels and obtained by picking up an image of a living tissue, a first feature value calculation portion that calculates a first feature value on the basis of color tone of the pixel of interest and color tones of surrounding pixels, a second feature value calculation portion that calculates a second feature value on the basis of the color tone of the pixel of interest and the color tones of surrounding pixels, an evaluation value calculation portion that calculates an evaluation value on the basis of the first feature value and the second feature value, and an evaluation value judgment portion that judges whether the pixel of interest is a pixel constituting the linear structure, on the basis of the evaluation value.

Medical image processing apparatus and method for controlling medical image processing apparatus

A medical image processing apparatus of the present invention includes: a three-dimensional model estimating section for estimating a three-dimensional model of an object based on a two-dimensional image of an image of the object which is inputted from a medical image pickup apparatus; an image dividing section for dividing the two-dimensional image into a plurality of regions each of which includes at least one or more pixels; a feature value calculation section for calculating a feature value according to a grayscale of each pixel in one region for each of the plurality of regions; and a lesion detection reference setting section for setting lesion detection reference for detecting a locally protruding lesion in the regions of the three-dimensional model which correspond to each of the plurality of regions, based on the feature value according to the grayscale.

Medical image processing apparatus and method for detecting locally protruding lesion

A plurality of images inputted in an image signal input portion are divided into a plurality of regions by an image dividing portion, and a feature value in each of the plurality of regions is calculated by a feature value calculation portion and divided into a plurality of subsets by a subset generation portion. On the other hand, a cluster classifying portion classifies a plurality of clusters generated in a feature space into any one of a plurality of classes on the basis of the feature value and occurrence frequency of the feature value. And a classification criterion calculation portion calculates a criterion of classification for classifying images included in one subset on the basis of a distribution state of the feature value in the feature space of each of the images included in the one subset.

Image processing device and image processing method in image processing device for identifying features in an image

Growing community of inventors

Hachioji, Japan

Hirokazu Nishimura