Abstract: Provided are a surgery assistance apparatus, a surgery assistance method, and a computer readable recording medium that includes a surgery assistance program recorded thereon that improve the accuracy of endoscopic surgery by identifying a target part image. A surgery assistance apparatus 1 includes a feature amount calculation unit 2 that calculates, from a human-body internal image captured using an endoscope, a feature amount of a target part image corresponding to a target part, a similarity degree calculation unit 3 that calculates a similarity degree of the features amount between different human-body internal images, and an identification unit 4 that identifies the target part image in each of the different human-body internal images if the similarity degree is greater than or equal to a predetermined value.

Abstract: Provided are a surgery assistance apparatus, a surgery assistance method, and a computer readable recording medium that includes a surgery assistance program recorded thereon that improve the accuracy of endoscopic surgery by identifying a target part image. A surgery assistance apparatus 1 includes a feature amount calculation unit 2 that calculates, from a human-body internal image captured using an endoscope, a feature amount of a target part image corresponding to a target part, a similarity degree calculation unit 3 that calculates a similarity degree of the features amount between different human-body internal images, and an identification unit 4 that identifies the target part image in each of the different human-body internal images if the similarity degree is greater than or equal to a predetermined value.

Abstract: The image processing device 1X includes an acquisition means 30X, a detection means 31X, a first determination means 32X, and a second determination means 33X. The acquisition means 30X acquires an endoscopic image of an examination target. The detection means 31X detects, based on the endoscopic image, a lesion region which is a candidate lesion region of the examination target in the endoscopic image. The first determination means 32X determines whether or not the endoscopic image is an image adequate to determine a degree of progression or an invasion depth, based on a size of the lesion region and/or a degree of reliability regarding a probability of the lesion region as the lesion. The second determination means 33X determines the degree of progression or the invasion depth, based on the endoscopic image determined to be the image adequate to determine the degree of progression or the invasion depth.

Abstract: The image processing device 1X includes an acquisition means 30X, an inference means 32X, and an integration means 33X. The acquisition means 30X acquires an endoscopic image obtained by photographing an examination target. The inference means 32X generates plural inference results regarding an attention region of the examination target in the endoscopic image, based on the endoscopic image. The integration means 33X integrates plural inference results.

Abstract: In the endoscopic examination support apparatus, the video 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 which represents a lesion possibility of the lesion candidate included in the endoscopic video by a color. The display control means superimposes and displays an area where the lesion possibility is equal to or higher than a first threshold on the endoscopic video in a first display mode, and superimposes and displays an area where the lesion possibility is equal to or higher than a second threshold on the endoscopic video in a second display mode.

Abstract: The image processing device 1X includes an acquisition means 30X and a lesion detection means 34X. The acquisition means 30X acquires an endoscopic image obtained by photographing an examination target by a photographing unit provided in an endoscope. The lesion detection means 34X detects a lesion based on a selection model which is selected from a first model and a second model, the first model being configured to make an inference regarding a lesion of the examination target based on a predetermined number of endoscopic images, the second model being configured to make an inference regarding a lesion of the examination target based on a variable number of endoscopic images. Besides, the lesion detection means 34X changes a parameter to be used for detection of the lesion based on a non-selection model that is the first model or the second model other than the selection model.

Abstract: Provided is a personal authentication device capable of simply securing security with little psychological and physical burden of a user to be authenticated. Personal authentication device includes: transmission unit that transmits a first acoustic signal to a user's head; observation unit that observes a second acoustic signal after the first acoustic signal propagation; calculation unit that calculates acoustic characteristics from the first and the second acoustic signal; extraction unit that extracts a feature amount related to a user from the acoustic characteristics; storage control unit that registers the feature amount in the storage unit; identification unit that identifies the user by collating the first feature amount with a second feature amount; and storage unit stores the first feature amount, wherein while identification unit identifies the user as being identical, transmission unit transmits the first acoustic signal every predetermined interval.

Abstract: Provided are a surgery assistance apparatus, a surgery assistance method, and a computer readable recording medium that includes a surgery assistance program recorded thereon that improve the accuracy of endoscopic surgery by identifying a target part image. A surgery assistance apparatus 1 includes a feature amount calculation unit 2 that calculates, from a human-body internal image captured using an endoscope, a feature amount of a target part image corresponding to a target part, a similarity degree calculation unit 3 that calculates a similarity degree of the features amount between different human-body internal images, and an identification unit 4 that identifies the target part image in each of the different human-body internal images if the similarity degree is greater than or equal to a predetermined value.

Abstract: Provided is a personal authentication device capable of simply securing security with little psychological and physical burden of a user to be authenticated.

Abstract: The endoscopic image acquisition means acquires an endoscopic image. The still image acquisition means acquires a plurality of still images obtained by imaging a lesion included in the endoscopic image. The identity determination means determines an identity of the lesion included in the plurality of still images. The selection means selects a representative image that best represents the lesion, from a plurality of still images determined to correspond to the same lesion, and displays the representative image on the display device.

Abstract: A surgery assistance apparatus 1 that improves the accuracy of surgery by presenting stable assistance information (display/sound) to a surgeon includes a calculation unit 2 that calculates, based on a living-body internal image 21 captured using an endoscope 42, region information indicating the region of a target part image 22 corresponding to a target part and probability information indicating a probability of the target part image 22 being an image of the target part, and a generation unit 3 that generates assistance information for assisting surgery while suppressing an extreme change when one of or both a change in the region information and a change in the probability information are extreme.

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 10 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) 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) 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: The image processing device 1X includes an acquisition means 30X, a mask image generation means 33X, and a selection means 34X. The acquisition means 30X acquires time series images obtained by photographing an examination target by a photographing unit provided in an endoscope. The mask image generation means 33X generates a plurality of mask images, which indicate candidate regions for an attention part with different levels of granularity, for each of the time series images. Then, the selection means 34X selects an output image for output use from the time series images, based on the plurality of mask images.

Abstract: A location estimation apparatus 1 includes: a feature amount extraction unit 2 configured to extract, a feature amount of a living-body internal image, from the living-body internal image captured using an endoscope; a similarity degree output unit 3 configured to output similarity degrees with a plurality of locations inside a living body using the feature amount; and an estimation unit 4 configured to estimate a location of the captured living-body internal image inside the living body using the similarity degrees.

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: The image processing device 1X includes an acquisition means 30×, a detection means 31×, a first determination means 32×, and a second determination means 33×. The acquisition means 30× acquires an endoscopic image of an examination target. The detection means 31× detects, based on the endoscopic image, a lesion region which is a candidate lesion region of the examination target in the endoscopic image. The first determination means 32× determines whether or not the endoscopic image is an image adequate to determine a degree of progression or an invasion depth, based on a size of the lesion region and/or a degree of reliability regarding a probability of the lesion region as the lesion. The second determination means 33× determines the degree of progression or the invasion depth, based on the endoscopic image determined to be the image adequate to determine the degree of progression or the invasion depth.

Abstract: The image processing device 1X includes an acquisition means 30X, a detection means 31X, a first determination means 32X, and a second determination means 33X. The acquisition means 30X acquires an endoscopic image of an examination target. The detection means 31X detects, based on the endoscopic image, a lesion region which is a candidate lesion region of the examination target in the endoscopic image. The first determination means 32X determines whether or not the endoscopic image is an image adequate to determine a degree of progression or an invasion depth, based on a size of the lesion region and/or a degree of reliability regarding a probability of the lesion region as the lesion. The second determination means 33X determines the degree of progression or the invasion depth, based on the endoscopic image determined to be the image adequate to determine the degree of progression or the invasion depth.

Abstract: Provided are a surgery assistance apparatus, a surgery assistance method, and a computer readable recording medium that includes a surgery assistance program recorded thereon that improve the accuracy of endoscopic surgery by identifying a target part image. A surgery assistance apparatus 1 includes a feature amount calculation unit 2 that calculates, from a human-body internal image captured using an endoscope, a feature amount of a target part image corresponding to a target part, a similarity degree calculation unit 3 that calculates a similarity degree of the features amount between different human-body internal images, and an identification unit 4 that identifies the target part image in each of the different human-body internal images if the similarity degree is greater than or equal to a predetermined value.