Olympus Corporation

Olympus Corpration

Yamato Kanda

Makoto Kitamura

Takashi Kono

Masashi Hirota

Takehiro Matsuda

Akihiro Kubota

Katsuyoshi Taniguchi

Toshiya Kamiyama

Mitsutaka Kimura

Takehito Hayami

Hirokazu Godo

Hiroshi Matsuzaki

Ryoji Takami

Takao Tsuruoka

Tetsuo Nonami

Yukihiro Sugimoto

Joji Sakamoto

Tatsuki Yamada

Yuya Kawabata

Takeshi Kono

Hiroshi Tanaka

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.

Image processing apparatus, image processing method, and storage medium for automatic recording of predetermined number of endoscope images

An endoscope diagnosis support system includes a processor. The processor performs detection of an anomaly candidate area from an endoscope image obtained by performing image pickup of an inside of a subject to obtain a detection result, and generates a display image in which an indicator indicating detection of the anomaly candidate area is arranged in a periphery portion of the endoscope image in accordance with the detection result.

Endoscope diagnosis support system, storage medium, and endoscope diagnosis support method

An image processing apparatus includes a processor. The processor receives an observation image of a subject or the observation image and system information, detects a lesioned part candidate from the observation image, estimates a deterioration risk of endoscopy quality from the observation image or the system information, controls a notification form of the lesioned part candidate from an estimation result of the deterioration risk, and notifies the lesioned part candidate according to the control of the notification form.

Image processing apparatus, diagnosis supporting method, and recording medium recording image processing program

An image processing device includes a processor including hardware, the processor being configured to execute: estimating an operation state of a medical apparatus in a lumen of a subject based on information sequentially input from the medical apparatus, the medical apparatus including an imaging device, and an insertion portion inserted into the lumen, and the information including at least an intraluminal image obtained by the imaging device capturing an image inside the lumen; and performing processing corresponding to the operation state of the medical apparatus in the lumen based on an estimation result.

Image processing device, operation method, and computer readable recording medium

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.

Training data generating system, method for generating training data, and recording medium

An endoscope apparatus includes a processor. The processor conducts analysis whether an endoscope image has been appropriately captured or not on the basis of the endoscope image. The processor acquires correction restriction information that is at least one of a restriction regarding a size of a lumen of an image-captured portion or a restriction regarding a submucosa state of the image-captured portion. The processor generates correction information regarding correction of image-capturing conditions for allowing the endoscope image to be appropriately captured under a restriction of the correction restriction information in a case where it is analyzed that the endoscope image has not been appropriately captured, and outputs the correction information on a monitor.

Endoscope apparatus, information processing method, and storage medium

An image recording device includes a processor. The processor acquires time-series images of endoscopy, temporarily records all of the time-series images of the endoscopy in a buffer memory, retrieves the time-series images temporarily recorded in the buffer memory and identifies an appearance of a lesion from the retrieved time-series images, and records in a memory a predetermined image of the time-series images temporarily recorded in the buffer memory, according to the identified appearance of the lesion.

Image recording device, image recording method, and recording medium for recording time-series images of endoscopy

A medical image data creation apparatus for training acquires a first medical image, acquires a second medical image that is different from the first medical image and is obtained by photographing a substantially same spot as in the first medical image, creates lesion region information concerning a lesion part in the second medical image, and creates medical image data for training in which the first medical image and the lesion region information are associated with each other.

Medical image data creation apparatus for training, medical image data creation method for training and non-transitory recording medium in which program is recorded

An endoscopic image processing apparatus is configured to generate a display image including one main screen and one or more sub-screens smaller than the main screen for displaying an endoscopic image obtained by picking up an image of an object in a subject with an endoscope. The endoscopic image processing apparatus includes a processor. The processor receives the endoscopic image and detects one or more lesion candidate regions included in the endoscopic image, highlights a position of the lesion candidate region, and sets, based on any one of a state of the lesion candidate region, a work state of a user who performs work using the endoscope, or a display state of the display image, a highlighting method in highlighting a position of the lesion candidate region included in at least one of the main screen or the sub-screen.

Endoscopic image processing apparatus, endoscopic image processing method, and recording medium

A diagnosis support apparatus includes a processor including at least one piece of hardware. The processor identifies, based on physical information including one or more kinds of information capable of estimating a state of a diagnosis target organ of a subject, one abnormal symptom appearing in the diagnosis target organ, performs, as lesion extraction processing for extracting a lesion candidate region from an endoscopic image, different processing specialized for each abnormal symptom that appears in the diagnosis target organ, and performs the lesion extraction processing corresponding to the identified one abnormal symptom.

Control apparatus, diagnosis support method, and recording medium

An information processing apparatus includes a processor. The processor acquires a medical image, identifies the acquired medical image and acquires an identification result, analyzes a motion relating to interpretation of the medical image by a user to acquire a motion analysis result, and compares the identification result and the motion analysis result and acquires a comparison result relating to coincidence or noncoincidence of the identification result and the motion analysis result.

Image recording apparatus, information processing apparatus, information processing method, and recording medium

An image processing device includes: a first processor configured to perform image processing on an inputted image, the image processing including diagnostic process; a second processor configured to perform selection processing to select and transmit a portion of the inputted image to an external image processing apparatus connected to an external network; and an interface configured to receive a processing result of the diagnostic process by the external image processing apparatus.

Endoscope system, and image processing apparatus and image processing method used in endoscope system

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.

Image processing apparatus, endoscope system, and image processing method

An image recording system includes a processor. The processor acquires a time series RAW image group including a plurality of time series RAW images in a first time section. The processor extracts, from the time series RAW image group, a recording candidate RAW image group included in a second time section as a part of the first time section. The processor records at least one RAW image included in the recording candidate RAW image group as a recording target RAW image which is a RAW image to be recorded. The processor selects the recording target RAW image from the recording candidate RAW image group. The processor converts the RAW image which is not selected as the recording target RAW image from the recording candidate RAW image group or the time series RAW image group to compressed data, and records the compressed data.

Image recording system, image recording method, and recording medium

An image processing device for an endoscope includes a processor. The processor receives, as input, a generated image acquired by performing predetermined processing on an image pickup signal acquired by an endoscope, analyzes a withdrawing speed of the endoscope based on at least one of the generated image and information relating to an operation state of the endoscope, detects a lesion part from the generated image, performs a diagnosis support action on the lesion part, decides a factor affecting the diagnosis support action based on an analysis result of the withdrawing speed, and outputs the factor.

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Hino, Japan

Yamato Kanda