Abstract: A catheter tip-end rotation angle calculation apparatus includes a movement restriction unit, of a tube shape, that is configured to be penetrated from a first hole to a second hole of a catheter on tip end and opposite sides, and restricts movement of the catheter to an insertion direction by causing the catheter to pass through from the first hole to the second hole, first and second rotation angle measurement units that measure first and second rotation angles of the catheter at the first and second holes, a catheter insertion length measurement unit that measures a catheter insertion length, and a catheter tip-end rotation angle calculation unit that calculates a rotation angle of the catheter tip end by using an angle difference between the first and second rotation angles, the catheter insertion length, and a distance between the first and second holes.

Abstract: A display window is displayed on a display of an information terminal, the display window including a first display area that displays similar medical images received from a case retrieval system and an instruction function that changes the display number of the similar medical images displayed in the first display area. If an instruction by the instruction function is detected, the display size of an individual area for displaying each of the similar medical images is changed while the display size of a sick portion of each of the similar medical images the same size, and hence the display number of the similar medical images displayed in the first display area is changed.

Abstract: A lesion determination apparatus includes: a number-of-images acquiring unit configured to acquire and record, on occurrence of a direction change that is either a first state in which a second operation instruction is received immediately after receipt of a first operation instruction or a second state in which the first operation instruction is received immediately after a receipt of the second operation instruction, a number of one-directionally viewed images that is either a number of tomography images continuously viewed in response to continuous first operation instructions including the first operation instruction in the first state or a number of tomography images continuously viewed in response to continuous second operation instructions including the second operation instruction in the second state; and a locality determining unit configured to determine whether the object part is a focal lesion or a diffuse lesion based on a change in the number of one-directionally viewed images.

Abstract: An information presentation control apparatus includes a selection information obtainer and a presentation controller. The selection information obtainer obtains selection information representing a selection status of a plurality of recognizers that recognize different targets in surroundings of an autonomous vehicle. The presentation controller causes a presentation device mounted in the autonomous vehicle to present driving information in accordance with the selection information, the driving information being based on at least one of control that is executable by the autonomous vehicle and control that is not executable by the autonomous vehicle and being information about at least one of driving by an automated driving system of the autonomous vehicle and driving by a driver.

Abstract: A controller that controls driving of an autonomously moving vehicle includes a first sensor that detects an obstacle and a direction of travel of the vehicle, and a processor that sets a virtual region surrounding the vehicle. Processor stops the vehicle when the obstacle is detected therein, determines whether the obstacle is present in the direction of travel, determines whether the vehicle has been stopped for a predetermined amount of time when the obstacle is present, reduces a length of the virtual region in the direction of travel to provide an adjusted virtual region when the vehicle is determined to have been stopped for the predetermined amount of time, causes the vehicle to drive when the obstacle is not detected within the adjusted virtual region, and stops the vehicle when the obstacle is detected within the adjusted virtual region.

Abstract: A device that detects an object includes a receiver that receives information about the object detected by a sensor, multiple circuits that detect the object by performing different detection processes, and a control circuit that controls the circuits. The control circuit detects whether the detection circuits are in an abnormal state, based on a change in a state of the circuits, when the control circuit detects that a first circuit of the circuits is in an abnormal state, the control circuit causes the first circuit to stop a detection process being performed by the first circuit and causes one or more circuits, other than the first circuit, to detect the object by causing the one or more circuits to stop performing detection processes performed by the one or more circuits, and to perform detection processes different from the detection processes being performed by the one or more circuits.

Abstract: An apparatus includes a memory, and circuitry which, in operation, performs operations including, storing, in the memory, an object occurrence map defining an occurrence area where there is a possibility that an object appears, detecting the object included in a captured image of a scene seen in a running direction of a vehicle, switching a vehicle drive mode, based on a result of the detection of the object and the object occurrence map, from an automatic drive mode in which the vehicle is automatically driven to a manual drive mode in which the vehicle is driven manually by a driver, and controlling driving of the vehicle in the switched manual drive mode.

Abstract: An image processing method includes acquiring consecutive time-series images captured by an onboard camera of a vehicle, having a first annotation indicating two or more first regions, and at least including one or more images in which the two or more first regions are on a path of the vehicle and a distance therebetween is smaller than or equal to a threshold; determining, in reverse chronological order from an image of the last time point, positions of the two or more regions in each consecutive time-series image; identifying, from among the consecutive time-series images, the first image of a first time point in which none of the two or more first regions are located on the path, and setting, as a second region, a region between the two or more first regions in the identified first image; and attaching a second annotation to the first image corresponding to the first time point, the second annotation indicating the second region.

Abstract: There are provided an apparatus, a method, and an autonomous moving body which allow a recognition target to be notified with certainty that the recognition target is recognized by an autonomous moving body. A recognition result presenting apparatus according to an embodiment of the present disclosure detects a recognition target (person) present within a predetermined range from an automatic driving vehicle and presents, to the detected recognition target (person), the result of recognition indicating that the automatic driving vehicle recognizes the recognition target (person).

Abstract: A risk prediction method executed by a computer of a risk predictor using a convolutional neural network, the method including making the convolutional neural network acquire an input image taken by an in-vehicle camera installed on a vehicle, making the convolutional neural network estimate a risk area and a feature of the risk area, the risk area being in the acquired input image, the risk area having a possibility that a moving object may appear from the risk area into a travelling path of the vehicle and the moving object may collide with the vehicle in a case where the vehicle simply continues running, and making the convolutional neural network output the estimated risk area and the estimated feature of the risk area as a risk predicted for the input image.

Abstract: An apparatus and a method capable of accurately recognizing that a person will appear on a road and certainly notifying the person that an autonomous moving body has recognized a place where the person will appear are disclosed. An apparatus according to an embodiment of the present disclosure detects, as a recognition target, a person appearance area, in which a person will appear, formed by a recognition target presentation apparatus on a road and presents, to the person, a result of recognition indicating that the autonomous moving body has recognized the person appearance area as a result of the detection of the recognition target.

Abstract: An image processing method includes acquiring consecutive time-series images captured by an onboard camera and including at least one image having a first annotation indicating a first region; determining, for each of the images, in reverse chronological order from an image of the last time point, whether the first region exists in the image based on whether the first annotation is attached; identifying the first image of a first time point for which the first region is determined not to exist, and setting a second region including a partial region of an object in the identified first image, indicating the moving object that is obstructed by the object before appearing on the path, and having dimensions based on dimensions of the first region in an image of a second time point immediately after the first time point; and attaching a second annotation to the image corresponding to the second time point, the second annotation indicating the second region.

Abstract: A determination method for determining the structure of a convolutional neural network includes acquiring N filters having the weights trained using a training image group as the initial values, where N is a natural number greater than or equal to 1, and increasing the number of the filters from N to M, where M is a natural number greater than or equal to 2 and is greater than N, by adding a filter obtained by performing a transformation used in image processing fields on at least one of the N filters.

Abstract: A similar case retrieval apparatus includes: a lesion portion acquirer that acquires partial images including lesion portion images, an image feature extractor that extracts image features of each of the plurality of partial images; a location information acquirer that acquires location information of each of the partial images; a lateral position determiner that determines the right organ or the left organ in which each of the lesion portions exists based on the location information; a unilateral distribution identifier that determines whether or not a distribution of the lesion portions is a unilateral distribution; and a similar case retriever that retrieves case data from a case database including both case data for the unilateral distribution in the right organ and case data for the unilateral distribution in the left organ when the unilateral distribution identifier identifies that the distribution of the lesion portions is the unilateral distribution.

Abstract: A control method displays a display screen including a first display area that displays a target medical image and a second display area that displays a received plurality of similar medical images including first and second similar medical images, the first and second similar medical images being displayed adjacently to each other in the second display area. If a first operation is sensed, the control method displays the target medical image adjacent to the first similar medical image in the second display area, and also display the target medical image adjacent to the second similar medical image in the second display area. The first operation is an operation of moving the target medical image adjacent to the first similar medical image in the second display area, and also moving the target medical image adjacent to the second similar medical image in the second display area.

Abstract: A control method for an information terminal including a computer, the control method including controlling the computer to 1) detect whether information indicating a region of interest in a target medical image to be interpreted is input, 2) receive a plurality of similar medical images similar to the target medical image from a case search system, the received similar medical images including an axial image and a coronal image, and 3) display the axial image or the coronal image on a display such that the axial image is displayed when the number of regions of interest indicated by the information input to indicate region of interests is one while the coronal image is displayed when the number of regions of interest indicated by the information input to indicate region of interests is two or more or in a case where the information indicating regions of interest is not input.

Abstract: A control method includes: receiving, from a case search system, a plurality of data including a plurality of images corresponding to a plurality of similar medical images having a certain similarity with a target medical image to be interpreted; displaying on a display a display screen including a first display area that displays thumbnails of the plurality of similar medical images; sensing one similar medical image selected from among the plurality of similar medical images displayed as thumbnails in the first display area; if the one selected similar medical image is a diffuse lesion, displaying the other plurality of medical images in a second display area included on the display screen; and if the one selected similar medical image is a localized lesion, successively displaying, in the second display area and in a first direction, the plurality of medical images including the localized lesion.

Abstract: A method includes displaying, on a display of an information terminal, thumbnail images of similar cases received from a case search system and displaying, in a disease name list display area, a disease name list formed from a list of disease names of the similar cases and the number of cases. If a plurality of regions of interest are set by a user when a search is conducted, the disease name list enters a mode in which the name of a concomitant disease is displayable therein.

Abstract: In an image recognition method executed by a computer of an image recognizer using a convolutional neural network, the convolutional neural network is a first convolutional neural network in which a fully connected layer is changed to a convolutional layer, and the method includes controlling a first convolutional neural network to acquire an input image, controlling the first convolutional neural network to estimate a center area of a recognition target in the acquired input image and to output a value indicating the estimated center area as a location of the recognition target in the input image.

Abstract: A similar case retrieval apparatus includes: a lesion portion acquirer that acquires partial images including lesion portion images, an image feature extractor that extracts image features of each of the plurality of partial images; a location information acquirer that acquires location information of each of the partial images; a lateral position determiner that determines the right organ or the left organ in which each of the lesion portions exists based on the location information; a unilateral distribution identifier that determines whether or not a distribution of the lesion portions is a unilateral distribution; and a similar case retriever that retrieves case data from a case database including both case data for the unilateral distribution in the right organ and case data for the unilateral distribution in the left organ when the unilateral distribution identifier identifies that the distribution of the lesion portions is the unilateral distribution.