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: Provided is a technique that suggests a testing region suited to dissection in genetic testing of somatic cells. An acquisition unit (11) acquires image data of a pathological specimen; an estimation unit (12) estimates the content ratio of tumor cells in each of individual regions in a focus region in the image data of the pathological specimen; a determination unit (13) determines a testing region in the focus region on the basis of the content ratio of tumor cells in each of the individual regions in the focus region; and an output unit (14) outputs information indicating the testing region.

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: 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) 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 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 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: 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: When making a diagnosis by synthetically taking into account the information obtained by preparing a plurality of samples using different staining methods or the like and sequentially observing the samples, a diagnostician must remember information about the plurality of samples. The present invention includes image storage means for storing a reference image obtained by photographing a predetermined stained sample of and a comparison image obtained by photographing another stained sample of substantially identical biological tissues, partial image creation means for detecting a structure of the biological tissue from the reference image, cutting out from the comparison image a partial image that contains the structure detected, and storing into partial image storage means the partial image in association with the structure and the comparison image, image output means for outputting a result image that includes the reference image and the partial image, and the partial image storage means.

Abstract: A partial image extracting unit extracts images of a predetermined size and constant magnification from a tissue region. A mask generating unit generates a mask for removing a region not intended for measurement from the tissue region for each extracted image. A complete mask generating unit generates a temporary complete mask in which the masks generated for each of the images are integrated together, and generates a complete mask in which close portions among unmasked portions in the temporary complete mask are unified into one or more target regions. A measuring unit measures information pertaining to an object to be measured included in the image, and this information is measured for each of the images extracted by the partial image extracting unit. A region information calculating unit calculates, for each target region, information pertaining to the object to be measured from the measured information and from the complete mask.

Abstract: A pathological diagnosis assisting apparatus according to the present invention provides the diagnosis assisting information for assisting diagnosis of tissue fibrosis from the image of the stained sample, and includes an image reading unit configured to read the image of the stained sample and an image processing unit configured to process the image. The image processing unit includes an image classification unit configured to classify the collagenous fiber and the elastic fiber, a tissue area extraction unit configured to extract a tissue area, an occupancy rate calculation unit configured to calculate the occupancy rates of the collagenous fiber and the elastic fiber in the tissue area, and a diagnosis assisting information providing unit configured to provide the diagnosis assisting information based on the calculated occupancy rates of the collagenous fiber and the elastic fiber.

Abstract: When making a diagnosis by synthetically taking into account the information obtained by preparing a plurality of samples using different staining methods or the like and sequentially observing the samples, a diagnostician must remember information about the plurality of samples. The present invention includes image storage means for storing a reference image obtained by photographing a predetermined stained sample of and a comparison image obtained by photographing another stained sample of substantially identical biological tissues, partial image creation means for detecting a structure of the biological tissue from the reference image, cutting out from the comparison image a partial image that contains the structure detected, and storing into partial image storage means the partial image in association with the structure and the comparison image, image output means for outputting a result image that includes the reference image and the partial image, and the partial image storage means.

Abstract: A pathological diagnosis assisting apparatus according to the present invention includes an image classification unit configured to classify at least one type of a specific substance, a tissue area extraction unit configured to extract a tissue area in the image of the sample, an image dividing unit configured to divide the tissue area into a plurality of sections, a specific substance occupancy rate calculation unit configured to, calculate an occupancy rate of the at least one type of the specific substance in each of the plurality of sections, and a diagnosis assisting information providing unit configured to determine an intermediate value of the occupancy rate of the specific substance from the calculated occupancy rates of the plurality of sections and to provide the intermediate value as the diagnosis assisting information.

Abstract: A partial image extracting unit extracts images of a predetermined size and constant magnification from a tissue region. A mask generating unit generates a mask for removing a region not intended for measurement from the tissue region for each extracted image. A complete mask generating unit generates a temporary complete mask in which the masks generated for each of the images are integrated together, and generates a complete mask in which close portions among unmasked portions in the temporary complete mask are unified into one or more target regions. A measuring unit measures information pertaining to an object to be measured included in the image, and this information is measured for each of the images extracted by the partial image extracting unit. A region information calculating unit calculates, for each target region, information pertaining to the object to be measured from the measured information and from the complete mask.

Abstract: Provided is a cancer evaluation method using a novel cancer marker for evaluating the onset, the preclinical stage, the clinical stage, or the prognosis of a cancer in a subject. At least one miRNA selected from hsa-miR-92 and hsa-miR-494 is used as the novel cancer marker in cancer evaluation. The cancer marker in a sample of a cell or a tissue is detected, and the possibility of a cancer in the sample is evaluated based on the expression level of the cancer marker. According to this evaluation method, by detecting the miRNA as the cancer marker, it becomes possible to evaluate the possibility of a cancer in the sample with excellent reliability. As a method for detecting the cancer marker, it is preferable to perform an in situ hybridization method using a labeled probe with respect to the sample that has been immobilized, for example.

Abstract: A pathological tissue image capturing system includes a pathological image acquirer 100 for capturing a pathological tissue image and an output device 120 for outputting the pathological tissue image. The pathological tissue image capturing system also includes a weighting device 111 for detecting a ROI from the pathological tissue image and adding a weight to pixels positioned in the ROI, and a range selector 112 for selecting an enlarged image capturing range in which to capture the pathological tissue image at an enlarged scale based on the weight added by the weighting device 111. The pathological image acquirer 100 captures an enlarged pathological tissue image in the enlarged image capturing range selected by the range selector 112. The output device 120 outputs the captured enlarged pathological tissue image in the enlarged image capturing range.

Abstract: Provided is a cancer evaluation method using a novel cancer marker for evaluating the onset, the preclinical stage, the clinical stage, or the prognosis of a cancer in a subject. At least one miRNA selected from hsa-miR-92 and hsa-miR-494 is used as the novel cancer marker in cancer evaluation. The cancer marker in a sample of a cell or a tissue is detected, and the possibility of a cancer in the sample is evaluated based on the expression level of the cancer marker. According to this evaluation method, by detecting the miRNA as the cancer marker, it becomes possible to evaluate the possibility of a cancer in the sample with excellent reliability. As a method for detecting the cancer marker, it is preferable to perform an in situ hybridization method using a labeled probe with respect to the sample that has been immobilized, for example.

Abstract: A vehicle passenger restraining apparatus is provided that basically includes a knee angle restraining structure, a shin restraining structure and a groin angle restraining structure. The knee angle restraining structure is configured to restrain a passenger during a frontal collision to attain a posture with a prescribed knee angle as measured between a passenger's thigh and a passenger's shin. The shin restraining structure is configured to restrain the passenger during a frontal collision. The groin angle restraining structure is configured to restrain the passenger during a frontal collision to attain the posture with a prescribed groin angle as measured between the passenger's thigh with respect to a longitudinal axis passing through a rotational center of a passenger's groin joint.

Abstract: A pathological tissue image capturing system includes a pathological image acquirer 100 for capturing a pathological tissue image and an output device 120 for outputting the pathological tissue image. The pathological tissue image capturing system also includes a weighting device 111 for detecting a ROI from the pathological tissue image and adding a weight to pixels positioned in the ROI, and a range selector 112 for selecting an enlarged image capturing range in which to capture the pathological tissue image at an enlarged scale based on the weight added by the weighting device 111. The pathological image acquirer 100 captures an enlarged pathological tissue image in the enlarged image capturing range selected by the range selector 112. The output device 120 outputs the captured enlarged pathological tissue image in the enlarged image capturing range.

Abstract: A vehicle passenger restraining apparatus is provided that basically includes a knee angle restraining structure, a waist angle restraining structure and a groin angle restraining structure. The knee angle restraining structure is configured to restrain a passenger during a frontal collision to attain a posture with a prescribed knee angle as measured between a passenger's thigh and a passenger's shin. The waist angle restraining structure is configured to restrain the passenger during a frontal collision to attain the posture with a prescribed waist angle as measured between a passenger's waist and the passenger's thigh. The groin angle restraining structure is configured to restrain the passenger during a frontal collision to attain the posture with a prescribed groin angle as measured between the passenger's thigh with respect to a longitudinal axis passing through a rotational center of a passenger's groin joint.