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: 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: 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 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.

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: 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.

Abstract: An image processing apparatus for use with an endoscope system. The image processing apparatus including: a first processor configured to perform image processing on an inputted image, the image processing including a diagnostic process; a second processor configured to perform selection processing to select and transmit 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. Wherein the external image processing apparatus is configured to perform at least one of a detection of a lesion candidate or a differentiation of the lesion candidate.

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 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: 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.

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: 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 apparatus includes a processor. The processor is configured to acquire image information from an endoscope during observation of an inside of a subject, generate an organ model from the acquired image information, identify an unobserved region that is not observed by the endoscope in the organ model, estimate a top and a bottom and an azimuth of an image pickup visual field of the endoscope with respect to the organ model, set a display direction of the organ model based on the top and the bottom and the azimuth of the image pickup visual field, and output the organ model to the monitor, the organ model being associated with the identified unobserved region.

Abstract: An endoscope processor includes a processor. The processor detects a first region of a lesion candidate from first image information which is acquired by irradiation with first illumination light; detects a second region of a lesion candidate from second image information acquired by irradiation with second illumination light having a different spectrum from the first illumination light; selects a region for display of the lesion candidate out of the first region and the second region, corresponding to an observation target site of a subject; and generates image information for display, in which the region for display is superimposed on the first image information.

Abstract: An endoscope processor includes a processor. The processor discriminates, in first image information acquired by applying first illumination light, between first region image information constituted of an object of an interest subject and second region image information constituted of an object of a non-interest subject, generates third region image information of a region in second image information acquired by applying second illumination light, the region including at least a part of a region of the second region image information, the second illumination light having a wavelength different from a wavelength of the first illumination light and passing through the object of the non-interest subject, and combines the first region image information and the third region image information, to generate a partial transparent image in which the object of the non-interest subject of the first image information is made transparent.

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.

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.

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: A diagnosis support system includes a processor. The processor is connected to a plurality of classifiers that are different in performance. The processor displays performance information of each of the classifiers side by side, receives a user's selection of the performance information displayed side by side, and inputs an input image to the classifier associated with the performance information selected by the user.