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.

Abstract: Example embodiments of the present invention relate to an image processing apparatus. The apparatus may include a processor and memory storing instructions that when executed on the processor cause the processor to perform the operations of detecting a deep region of a duct in an image and extracting a plurality of contour edges of an inner wall of the duct in the image. The apparatus then may identify a plurality of convex regions among the plurality of contour edges, analyze a respective curvature of each of the plurality of convex regions to identify a convex direction for each of the plurality of convex regions, and detect, as an abnormal region, a convex region having a convex direction directed toward the deep region.

Abstract: An image processing apparatus includes: a memory; and a processor comprising hardware, the processor being configured to output a result of classifying an image group to be classified based on a result of main learning performed based on a result of preliminary learning and a target image group to be learned, the preliminary learning being performed based on a similar image group similar in at least one of characteristics of a shape of an object in the target image group, a tissue structure of an object in the target image group, and an imaging system of a device that captures the target image group, wherein the similar image group is different from the image group to be classified in the main learning.

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: An image processing apparatus includes: a detection unit configured to detect images of interest including regions of interest that are estimated as an object to be detected, from a group of a series of images acquired by sequentially imaging a lumen of a living body; an image-of-interest group extracting unit configured to extract a group of images of interest including an identical region of interest, from the images of interest detected by the detection unit; and a representative image extracting unit configured to extract one or more representative images from the group of images of interest, based on at least one of correlation of the regions of interest with the object to be detected, and visibility of the regions of interest.

Abstract: An image processing apparatus includes: an abnormality candidate region detection unit that detects an abnormality candidate region based on a contour edge of a mucosal wall or a surface shape of the mucosal wall in an intraluminal image of a body; and an abnormal region specifying unit that specifies an abnormal region based on texture information of the abnormality candidate region.

Abstract: An image processing apparatus includes: a blood vessel sharpness image creation unit configured to create a blood vessel sharpness image representing sharpness of a blood vessel region in which a blood vessel is shown in an intraluminal image; an abnormal candidate region extraction unit configured to extract a region in which the sharpness is decreased in the blood vessel sharpness image, as a candidate region for an abnormal region in which a visible vascular pattern is locally lost; and an abnormal region determination unit configured to determine whether the candidate region is an abnormal region, based on extension information indicating a state of the blood vessel region extending in a neighborhood of the candidate region.

Abstract: An image processing apparatus includes: a detecting unit that detects regions of interest that are estimated as an object to be detected, from a group of a series of images acquired by sequentially imaging a lumen of a living body, and to extract images of interest including the regions of interest; a neighborhood range setting unit that sets, as a time-series neighborhood range, a neighborhood range of the images of interest in the group of the series of images arranged in time series so as to be wider than an interval between images that are continuous in time series in the group of the series of images; an image-of-interest group extracting unit that extracts an image-of-interest group including identical regions of interest from the extracted images of interest, based on the time-series neighborhood range; and a representative-image extracting unit that extracts a representative image from the image-of-interest group.

Abstract: An image processing apparatus includes an abnormal candidate region detection unit configured to detect an abnormal candidate region, as a candidate for an abnormal portion, from an intraluminal image obtained by capturing an image of an inside of a lumen of a subject, a tubular region detection unit configured to detect a tubular region from the intraluminal image, a connectivity determination unit configured to determine whether the abnormal candidate region and the tubular region are connected in a region of a color similar to that of the tubular region, and an abnormality determination unit configured to determine whether the abnormal candidate region is the abnormal portion, based on results of determination by the connectivity determination unit.

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 apparatus includes: an abnormality candidate region detection unit that detects an abnormality candidate region based on a contour edge of a mucosal wall or a surface shape of the mucosal wall in an intraluminal image of a body; and an abnormal region specifying unit that specifies an abnormal region based on texture information of the abnormality candidate region,

Abstract: An image processing apparatus for processing an image acquired by imaging a living body includes: a blood vessel candidate region extraction unit configured to extract a plurality of blood vessel candidate regions from the image; an identical blood vessel candidate region extraction unit configured to extract, from among the plurality of blood vessel candidate regions, a blood vessel candidate region group estimated to form a line shape when integrated, as an identical blood vessel candidate region; an evaluation value calculation unit configured to calculate one or more kinds of evaluation values for evaluating a likelihood that the identical blood vessel candidate region corresponds to an identical blood vessel; and a blood vessel region discrimination unit configured to discriminate whether or not the identical blood vessel candidate region forms an identical blood vessel region, based on the evaluation values.

Abstract: An image processing apparatus includes: a detecting unit configured to detect images of interest including regions of interest that are estimated as an object to be detected, from a group of a series of images acquired by sequentially imaging a lumen of a living body; a global similarity calculating unit configured to calculate a global similarity that is a similarity between regions including at least regions other than the regions of interest, between the images of interest different from one another; an image-of-interest group extracting unit configured to extract an image-of-interest group including identical regions of interest, in accordance with comparison between a threshold and the global similarity or a determination parameter based on the global similarity; and a representative image extracting unit configured to extract a representative image from the image-of-interest group.

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.