Olympus Corporation

Oki Data Corporation

Olympus Corpration

Makoto Kitamura

Yamato Kanda

Takashi Kono

Masashi Hirota

Takehiro Matsuda

Toshiya Kamiyama

Katsuyoshi Taniguchi

Mitsutaka Kimura

Akihiro Kubota

Masahiro Fukuda

Hirokazu Godo

Takehito Hayami

Takao Tsuruoka

Hiroshi Udagawa

Tatsuki Yamada

Keiichi Watanabe

Satoshi Gima

Naoya Tonooka

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

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

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 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.

Image processing device for endoscope, image processing method for endoscope, and recording medium

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.

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

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.

Image processing apparatus for endoscope, image processing method for endoscope, and recording medium

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.

Diagnosis support apparatus, diagnosis support method and computer-readable non-transitory storage medium for storing program

A diagnosis assisting apparatus includes a processor. The processor is configured to detect at least one target region from an acquired image and output position information of the target region. The processor is also configured to classify the target region based on predetermined classification conditions corresponding to diagnosis indices and output diagnosis assisting information indicating a degree of seriousness of the target region. The processor is then configured to control a display image such that a first period, during which the diagnosis assisting information is displayed in a first region, is different from a second period, during which the position information is superimposed on the image in a second region and is displayed.

Diagnosis assisting apparatus, storage medium, and diagnosis assisting method for displaying diagnosis assisting information in a region and an endoscopic image in another region

An image processing apparatus including: a memory to store intraluminal images captured by a medical device inserted into a living body, the intraluminal images being associated with time series; and a processor to detect an abnormal area from intraluminal images captured by a medical device inserted into a living body, set a similar abnormal section where the abnormal areas being similar to each other are included, generate information related to the similar abnormal section, extract an intraluminal image that is used as a representative image from among the intraluminal images belonging to the similar abnormal section, control the display device to display the representative image, extract, as the information related to the similar abnormal section from among the intraluminal images, non-representative images which are part of intraluminal images other than the representative image, and control a display device to display the information related to the similar abnormal section.

Image processing apparatus, operation method for image processing apparatus, and recording medium

An image processing apparatus includes: an image acquiring unit configured to acquire a lumen image of a living body; an image generating unit configured to generate a plurality of new images by changing at least one of a hue and a brightness of the lumen image to predetermined values based on range information in which a range of at least one of a hue and a brightness is set in advance according to biometric information included in the lumen image; and a learning unit configured to learn identification criteria to perform identification of a subject based on the images.

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Hachioji, Japan

Makoto Kitamura