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.

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.

Abstract: 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.

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.

Abstract: 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.

Abstract: An image processing apparatus includes an input unit, an estimation unit, an acquisition unit, a production unit, and a display control unit. The input unit acquires examination information including an endoscope image. The estimation unit estimates an image pickup site based on the endoscope image. The acquisition unit acquires, from the examination information, image pickup information corresponding to the endoscope image and indicating a state of at least one of an endoscope or a subject when the endoscope image is picked up. The production unit produces a model map and associates the image pickup information with a virtual site based on a result of the estimation by the estimation unit. The display control unit controls a display device.

Abstract: 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.

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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An endoscope system includes an endoscope and an image processing device attached to one another. The image processing device includes at least one processor configured to perform operations of determining an operator's action based on an action signal from an endoscope inserted into a subject body, deciding whether an image is set as a detection target image based on the operator's action and detecting a specific region from the detection target image. The processor performs an operation of determining whether the operator's action at a time of capturing the image is a treatment action to give the subject body a treatment. Furthermore, the processor detects, from the image, a region, which exhibits a specular reflection and whose time change in area and position is large, as a washed region and then determine the operator's action at the time of capturing the image is the treatment action when the washed region is detected.

Abstract: 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.

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.

Abstract: An image processing apparatus have a processor configured to: receive a plurality of images of a tissue including a lesion portion, the plurality of images being received from an endoscope; judge, based on a signal from the endoscope, whether or not to engage a differentiation classification operation; in response to judging that the differentiation classification operation is engaged, process the plurality of images to specify the lesion portion within one or more of the plurality of images; and perform differentiation classification on the one or more images to classify the lesion portion into at least one class of a plurality of classes; and in response to judging that the differentiation classification operation is not engaged, not process the plurality of images to specify the lesion portion within the one or more of the plurality of images.

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.

Abstract: 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.

Abstract: 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.

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.