Abstract: In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic video captured by an endoscope. The lesion detection means detects a lesion candidate from the endoscopic video. The heat map generation means generates a heat map indicating a possibility of lesion of the lesion candidate in the endoscopic video by a color. The display control means displays a position of a lesion on a frame of the endoscopic video based on the lesion candidate and the heat map.

Abstract: In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic video captured by an endoscope. The lesion detection means detects a lesion candidate from the endoscopic video. The heat map generation means generates a heat map indicating a possibility of lesion of the lesion candidate in the endoscopic video by a color. The display control means displays a position of a lesion on a frame of the endoscopic video based on the lesion candidate and the heat map.

Abstract: In the endoscopic examination support apparatus, three three-dimensional model generation means generates a three-dimensional model of a luminal organ in which an endoscope camera is placed, based on endoscopic images acquired by imaging an interior of the luminal organ with the endoscope camera. The unobserved area detection means detects an area estimated not to be observed by the endoscope camera, as an unobserved area, based on the three-dimensional model. The display image generation means generates a display image including information indicating an observation achievement degree for each of a plurality of sites of the luminal organ, based on the detection result of the unobserved area. The endoscopic examination support apparatus may be used to support user's decision making.

Abstract: In the endoscopic examination support apparatus, three three-dimensional model generation means generates a three-dimensional model of a luminal organ in which an endoscope camera is placed, based on endoscopic images acquired by imaging an interior of the luminal organ with the endoscope camera. The unobserved area detection means detects an area estimated not to be observed by the endoscope camera, as an unobserved area, based on the three-dimensional model. The display image generation means generates a display image including information indicating an observation achievement degree for each of a plurality of sites of the luminal organ, based on the detection result of the unobserved area. The endoscopic examination support apparatus may be used to support user's decision making.

Abstract: In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic video captured by an endoscope. The lesion detection means detects a lesion candidate from the endoscopic video. The heat map generation means generates a heat map indicating a possibility of lesion of the lesion candidate in the endoscopic video by a color. The display control means displays a position of a lesion on a frame of the endoscopic video based on the lesion candidate and the heat map.

Abstract: In the endoscopic examination support apparatus, the three-dimensional model generation means generates a three-dimensional model of a luminal organ in which an endoscope camera is placed, based on endoscopic images obtained by imaging an interior of the luminal organ with the endoscope camera. The unobserved area detection means detects an area estimated not to be observed by the endoscope camera, as an unobserved area, based on the three-dimensional model. The display image generation means generates a display image including at least one of information indicating a position of the unobserved area in the endoscopic image, and information indicating a direction of the unobserved area outside the endoscopic image. The endoscopic examination support apparatus may be used to support user's decision making.

Abstract: An image processing device 1X includes a three-dimensional reconstruction means 31X, a matching means 32X, and an output control means 33X. The three-dimensional reconstruction means 31X generates reconstruction data Mr acquired by three-dimensionally reconstructing an inspection target on a basis of captured images Ic which a photographing unit provided in an endoscope generates by photographing the inspection target. The matching means 32X performs matching between a standard model “Ms”, which is a standard three-dimensional model of the inspection target, and the reconstruction data Mr. The output control means 33X displays on a display device 2X a photographed area indication image indicating a photographed area of the inspection target on the standard model based on a result of the matching.

Abstract: In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic video captured by an endoscope. The lesion detection means detects a lesion candidate from the endoscopic video. The heat map generation means generates a heat map indicating a possibility of lesion of the lesion candidate in the endoscopic video by a color. The display control means displays a position of a lesion on a frame of the endoscopic video based on the lesion candidate and the heat map.

Abstract: In the endoscopic examination support apparatus, three three-dimensional model generation means generates a three-dimensional model of a luminal organ in which an endoscope camera is placed, based on endoscopic images acquired by imaging an interior of the luminal organ with the endoscope camera. The unobserved area detection means detects an area estimated not to be observed by the endoscope camera, as an unobserved area, based on the three-dimensional model. The display image generation means generates a display image including information indicating an observation achievement degree for each of a plurality of sites of the luminal organ, based on the detection result of the unobserved area. The endoscopic examination support apparatus may be used to support user's decision making.

Abstract: In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic video captured by an endoscope. The lesion detection means detects a lesion candidate from the endoscopic video. The heat map generation means generates a heat map indicating a possibility of lesion of the lesion candidate in the endoscopic video by a color. The display control means displays a position of a lesion on a frame of the endoscopic video based on the lesion candidate and the heat map.

Abstract: An information processing device includes: a first acquisition unit configured to acquire a capturing time of a lesion image instructed to be saved by a user, from a series of images captured by an endoscope during examination with the endoscope; a second acquisition unit configured to acquire a capturing time of a lesion image detected by detection processing for the series of images captured by the endoscope during the examination; and a display control unit configured to cause a display device to display a first capturing time and a second capturing time which are plotted on a time axis, the first capturing time being the capturing time acquired by the first acquisition unit, the second capturing time being the capturing time acquired by the second acquisition unit.

Abstract: The image processing device 1X includes an infiltration distance acquisition means 32X and an output control means 33X. The infiltration distance acquisition means 32X is configured to acquire, based on an endoscopic image obtained by photographing an examination target by a photographing unit provided in an endoscope, an infiltration distance of a tumor part of the examination target in the endoscopic image. The output control means 33X is configured to output an image or sound based on the infiltration distance to an output device. It can be used to support examiner's decision making and the like.

Abstract: The endoscopic examination assistance device detects at least one lesion contained in an endoscopic image obtained during an endoscopic examination; estimates an infiltration state of the lesion detected from the endoscopic image; determines whether the infiltration state exceeds a predetermined threshold value; and displays the infiltration state relative to the threshold value in a visually discernible manner. The endoscopic examination assistance device can assist user's decision making for diagnosing lesions.

Abstract: An information processing device includes: a first acquisition unit configured to acquire a capturing time of a lesion image instructed to be saved by a user, from a series of images captured by an endoscope during examination with the endoscope; a second acquisition unit configured to acquire a capturing time of a lesion image detected by detection processing for the series of images captured by the endoscope during the examination; and a display control unit configured to cause a display device to display a first capturing time and a second capturing time which are plotted on a time axis, the first capturing time being the capturing time acquired by the first acquisition unit, the second capturing time being the capturing time acquired by the second acquisition unit.

Abstract: An endoscopy support apparatus 1 includes: an analysis information generation unit 2 that inputs image information of an imaged living body into a model, estimates a region of a target site of the living body, and generates analysis information including region information indicating the estimated region and score information indicating likeness of the region to the target site; a user information generation unit 3 that generates user information related to the user, which has been input by a user using a user interface 23; an image-related information generation unit 4 that generates image-related information by associating imaging date and time information, the analysis information, and the user information, for each piece of image information; and an examination management information generation unit 5 that generates examination management information by associating a plurality of pieces of the image-related information with examination information indicating an examination period.

Abstract: An endoscopy support apparatus 1 includes: an analysis information generation unit 2 that inputs image information of an imaged living body into a model, estimates a region of a target site of the living body, and generates analysis information including region information indicating the estimated region and score information indicating likeness of the region to the target site; a user information generation unit 3 that generates user information related to the user, which has been input by a user using a user interface 23; an image-related information generation unit 4 that generates image-related information by associating imaging date and time information, the analysis information, and the user information, for each piece of image 10 information; and an examination management information generation unit 5 that generates examination management information by associating a plurality of pieces of the image-related information with examination information indicating an examination period.

Abstract: Provided are an information processing device, a display method, and a program that allow to easily grasp during examination that a lesion is captured how long before from now which is detected by detection processing for an image captured by an endoscope. An information processing device includes: an image acquisition unit configured to sequentially acquire a current image captured by an endoscope; a lesion detection unit configured to sequentially perform detection processing of a lesion site on the images sequentially acquired by the image acquisition unit; and a display control unit configured to display, on a display device, a degree of lapse of time up to a current time from a capturing time of the image in which the lesion site is detected by the lesion detection unit.

Abstract: An information processing device includes: a first acquisition unit configured to acquire a capturing time of a lesion image instructed to be saved by a user, from a series of images captured by an endoscope during examination with the endoscope; a second acquisition unit configured to acquire a capturing time of a lesion image detected by detection processing for the series of images captured by the endoscope during the examination; and a display control unit configured to cause a display device to display a first capturing time and a second capturing time which are plotted on a time axis, the first capturing time being the capturing time acquired by the first acquisition unit, the second capturing time being the capturing time acquired by the second acquisition unit.

Abstract: An endoscopy support apparatus 1 includes: an analysis information generation unit 2 that inputs image information of an imaged living body into a model, estimates a region of a target site of the living body, and generates analysis information including region information indicating the estimated region and score information indicating likeness of the region to the target site; a user information generation unit 3 that generates user information related to the user, which has been input by a user using a user interface 23; an image-related information generation unit 4 that generates image-related information by associating imaging date and time information, the analysis information, and the user information, for each piece of image information; and an examination management information generation unit 5 that generates examination management information by associating a plurality of pieces of the image-related information with examination information indicating an examination period.

Abstract: This image generation apparatus includes: an acquiring section for acquiring a medical image of a patient; a detecting section for detecting a lesion candidate in the medical image; a differentiating section for generating, from information indicating the lesion candidate, a result of differentiation of the lesion candidate regarding a medical condition the patient has; an image generating section for generating, based on the information indicating the lesion candidate and the result of differentiation of the lesion candidate, a prediction image which represents a state in which the lesion candidate will be after a lapse of time; and an outputting section for outputting the prediction image.