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 diagnosis assisting apparatus includes a processor configured to: detect at least one target region from an acquired image and output position information of the target region; 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; and 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 image processing apparatus includes an input circuit to which an image acquired by medical equipment is sequentially inputted and a processor. The processor detects a lesion candidate in the image, discriminates the lesion candidate detected and outputs discrimination information, when two or more lesion candidates are detected in the image, selects a discrimination object lesion candidate which is a discrimination object based on information on distance between the medical equipment and the lesion candidates, and outputs position information and discrimination information of the discrimination object lesion candidate together with the image.

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 endoscopic image processing apparatus includes a processor. The processor detects a lesion candidate region included in an endoscopic image obtained by picking up an image of an inside of a subject with an endoscope, highlights a position of the lesion candidate region detected from the endoscopic image, when a plurality of lesion candidate regions are detected from the endoscopic image, relatively evaluates visibility of the plurality of lesion candidate regions, and performs setting for position highlighting of the lesion candidate region based on an evaluation result of the visibility.

Abstract: An image processing apparatus includes: a surface shape estimation unit configured to estimate a surface shape of a target that appears in an intraluminal image of a living body; an imaging viewpoint changing unit configured to change an imaging viewpoint with respect to the surface shape from an imaging viewpoint used for estimation; and an image generation unit configured to generate a virtual image of the target for a case of imaging the target from the changed imaging viewpoint.

Abstract: An image processing device includes a processor comprising hardware, wherein the processor is configured to execute: acquiring intraluminal images; generating, for each of the intraluminal images, lesion information by estimating a visual point with respect to a lesion region extracted from each of the intraluminal images and analyzing a three-dimensional structure of the lesion, the lesion information indicating any of a top portion, a rising portion, and a marginal protruding portion in the lesion region; and extracting, based on the lesion information, a target image satisfying a prescribed condition from the intraluminal images.

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 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.

Abstract: An image processing device includes a processor. The processor detects a lesion candidate based on a medical image obtained by picking up an image of a subject, detects a feature including a swelling direction of the lesion candidate, determines a display state of a mark displayed according to the feature of the lesion candidate, generates mark display information including information on the display state, and determines a position of the mark in a predetermined peripheral region of the lesion candidate according to the detected swelling direction. The image processing device generates a display image in which the mark is added to the position of the mark of the medical image based on the mark display information.

Abstract: An image processing apparatus includes a processor including hardware. The processor is configured to evaluate, based on information including an image which is captured by an endoscope and is sequentially input, a technical level of an operator who operates the endoscope, and measure a transit time of a specific section.

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: An image processing apparatus includes: a narrowband image acquisition unit configured to acquire a narrowband image showing inside of a lumen; a white light image acquisition unit configured to acquire a white light image showing the inside of the lumen; and a composite image generation unit configured to combine information of the narrowband image to the white light image, according to a depth of a submucosal object, to generate a composite image for display.

Abstract: An image processing device includes at least one processor having hardware. The processor is configured to implement analyzing, in an intraductal image which is an image of inside of a duct, an intraductal imaging situation based on a position of a subject relative to a part that captures an image of the subject. Next, the processor is calculating a plurality of specific region discrimination indices for the intraductal image. Finally, the processor is detecting a specific region by integral determination on the plurality of specific region discrimination indices depending on the intraductal imaging situation.

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: 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.

Abstract: An image processing apparatus includes: a luminal shooting situation analysis unit configured to analyze a luminal shooting situation determined based on a relationship between a subject and an imaging unit that shoots the subject in a luminal image obtained by shooting an inside of a lumen; and a specific region detection unit configured to detect a specific region in accordance with the luminal shooting situation.

Abstract: An image processing apparatus includes: a processor comprising hardware, the processer being configured to execute: setting, in an image, an area of interest where classification is evaluated; calculating surface layer structure information representing a surface layer structure in the area of interest; calculating at least focus degrees of the outside of the area of interest in the image; and classifying the image based on the surface layer structure information and the focus degrees of the outside of the area of interest.

Abstract: An image processing apparatus including a processor comprising hardware, wherein the processor is configured to execute: analyzing a characteristic of a pathologic region included in individual endoscopic images of an endoscopic image group arranged in chronological order; setting, based on the characteristic of the pathologic region, an extraction condition for extracting one or more endoscopic images appropriate for diagnosis from the endoscopic image group; and extracting, based on the extraction condition, one or more endoscopic images having image quality appropriate for diagnosis from the endoscopic image group. When performing the analysis of the characteristic of the pathologic region, the processor classifies the pathologic region into a preset class of malignant degree.