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.

Abstract: The acquisition unit 41B acquires a target image indicating a target object of inspection. The detection unit 42B detects, on the basis of a group of images each of which indicates the target object in a normal state, the target image that indicates the target object that is not in the normal state among the target images that the acquisition unit 41B acquires.

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 video data (12). The information processing apparatus (2000) displays a video frame (14) in which the abnormal region (30) is detected in a first region (22) of a display device (20). Further, the information processing apparatus (2000) displays the video data (12) including the video frame (14) generated after the video frame (14) displayed in the first region in a second region (24) of the display device (20).

Abstract: Provided is a diagnostic assistance system whereby it is possible to allocate to highly skilled pathologists boundary region tissue specimens whereupon a malign/benign determination is difficult. The diagnostic assistance system includes: an input element for receiving an input of a degree of malignancy of a tissue specimen; a storage element for associating and storing a diagnostician with the degree of skill thereof; and a control element for, when the degree of malignancy is an intermediate value, querying the storage element and determining the diagnostician with the degree of degree of skill which is greater than or equal to a reference value.

Abstract: Disclosed is an information processing apparatus that supports diagnosis based on a tissue sample image obtained from imaging a biological tissue, including: a tissue sample image cutting unit that individually cuts out the tissue sample image from a plurality of slides that includes the plurality of tissue sample images; and a display position setting unit that sets a display position on a display screen where a reduced image of each tissue sample image is displayed, on the basis of a characteristic amount of each tissue sample image cut by the tissue sample image cutting unit.

Abstract: A method of detecting hepatocellular carcinoma includes using an isolated protein including an amino acid sequence represented by SEQ ID NO: 1.

Abstract: Provided are: a method of assessing hepatocellular carcinoma by using a protein with a different phosphorylated state in hepatocellular carcinoma cells compared with non-hepatocellular carcinoma cells; and a hepatocellular carcinoma protein marker for detecting hepatocellular carcinoma formed of the protein. The hepatocellular carcinoma protein marker for detecting hepatocellular carcinoma includes tumor rejection antigen gp96 formed of the amino acid represented by SEQ ID NO: 1, and is measured for its phosphorylated state to detect the presence or absence of hepatocellular carcinoma.