Abstract: An information processing apparatus (2000) detects an abnormal region (30) in each of a plurality of video frames (14) constituting video data (12) in which the inside of a body is captured. The information processing apparatus (2000) outputs output information related to the detected abnormal region (30). Herein, the information processing apparatus (2000) starts outputting of the output information when a detection score based on a proportion of the number of the video frames (14) in which the abnormal region (30) is detected becomes equal to or more than a first threshold value in a state where outputting of the output information is not being performed. Further, the information processing apparatus (2000) ends outputting of the output information when the detection score becomes equal to or less than a second threshold value in a state where outputting of the output information is being performed.

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: A genetic characteristic estimation device (2000) acquires genetic mutation information (30) and position information (40). The genetic mutation information (30) indicates information regarding a genetic mutation in a deoxyribonucleic acid (DNA) sequence of a target cell (20) obtained from a target organism (10). In the position information (40), a position on the DNA sequence is associated with the type of a cell or the type of an organ. The genetic characteristic estimation device (2000) determines a genetic mutation at the position associated with the type of the target cell (20) or the type of an organ including the target cell (20) in the position information (40) from among genetic mutations indicated by the genetic mutation information (30), and computes a genetic characteristic index value representing a genetic characteristic of the target organism (10) based on a characteristic of the determined genetic mutation.

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: In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic image taken by an endoscope. The first lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a normal state of a large intestine. The second lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a predetermined state of the large intestine. The output means outputs at least one of a detection result of the first lesion detection means and a detection result of the second lesion detection means.

Abstract: In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic image taken by an endoscope. The first lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a normal state of a large intestine. The second lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a predetermined state of the large intestine. The output means outputs at least one of a detection result of the first lesion detection means and a detection result of the second lesion detection means.

Abstract: An information processing apparatus (2000) detects an abnormal region (30) from a moving image frame (14). The abnormal region (30) is a region that is estimated to represent an abnormal part inside a body of a subject. The information processing apparatus (2000) generates and outputs output information based on the number of detected abnormal regions (30).

Abstract: An information processing apparatus (2000) detects an abnormal region (30) from a moving image frame (14). The abnormal region (30) is a region that is estimated to represent an abnormal part inside a body of a subject. The information processing apparatus (2000) generates and outputs output information based on the number of detected abnormal regions (30).

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 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 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 present invention assists with genetic testing in which pathological image data is used. A classifying unit (11) uses pathological image data, which is the test subject of genetic testing, to classify the test object by tumor cell type. A selecting unit (13) selects, from among available pathologists who can be asked to assist, a pathologist candidate to be asked to assist with the genetic testing, on the basis of the tumor cell type. A presenting unit (14) displays the pathologist candidate.

Abstract: An endoscope operation support apparatus (2000) acquires a shape data sequence (50) representing a temporal change of shape data of an endoscope scope (40). The endoscope operation support apparatus (2000) determines an insertion method used for insertion of the endoscope scope (40) using the shape data sequence (50). The endoscope operation support apparatus (2000) outputs insertion method information (20) regarding the determined insertion method.

Abstract: An endoscope operation support apparatus (2000) acquires a shape data sequence (50) representing a temporal change of a shape category of an endoscope scope (40). The endoscope operation support apparatus (2000) uses the shape data sequence (50) to determine a target category suitable as a transition destination of the shape category of the endoscope scope (40) or a target position which is a position suitable as a position at which the endoscope scope (40) transitions. The endoscope operation support apparatus (2000) outputs target information (20) that is information regarding the target category or the target position.

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 (1) includes: an image acquisition unit (2) configured to sequentially acquire a current image captured by an endoscope; a lesion detection unit (3) configured to sequentially perform detection processing of a lesion site on the images sequentially acquired by the image acquisition unit (2); and a display control unit (4) 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 (3).

Abstract: A brain image analysis apparatus (2000) acquires input data (40) including a structural brain image (42) and a functional brain image (44) for a subject (10). The brain image analysis apparatus (2000) obtains analysis data (20) by inputting the input data (40) into an analysis model (2020). The analysis model (2020) has been trained in advance so as to output the analysis data (20) representing information about brain dysfunction in response to an input of the input data (40). The brain image analysis apparatus (2000) outputs, based on the analysis data (20), output data (30) representing information about the brain dysfunction of the subject (10).

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: It is an object of the present invention to provide an endoscope insertion assistance apparatus, a method and a program that allow an operator of an endoscope to easily grasp an insertion situation of the endoscope to thereby conduct effective insertion assistance. An endoscope insertion assistance apparatus (100) according to the present invention includes an acquisition unit (110) that acquires shape data to identify an insertion shape of an endoscope inserted into a lumen, an estimation unit (120) that estimates any one of a plurality of shape categories for the insertion shape from the shape data and an output unit (130) that outputs display information in chronological order for the estimated shape category.

Abstract: An information processing apparatus (2000) detects an abnormal region (30) from a predetermined range (16) of a video frame (14). The information processing apparatus (2000) determines whether a predetermined condition is satisfied in a case where the abnormal region (30) is detected from the predetermined range (16) of a certain video frame (14) and the abnormal region (30) is not detected from the predetermined range (16) of a predetermined video frame (14) generated later than the video frame (14). In a case where the predetermined condition is not satisfied, the information processing apparatus (2000) performs a predetermined notification.

Abstract: Provided are an information processing device, a display method, and a program which enable easy recognition of the discrepancy between the detection result by detection processing for an image captured by an endoscope and the detection result by a user.