Abstract: A failed-image decision support apparatus includes a hardware processor and an outputter. The hardware processor performs, among multiple types of failed-image determination processes, at least one failed-image determination process on a medical image, thereby generating a determination result and determination basis information indicating a basis for the determination result. The outputter outputs the determination result and the determination basis information. Another failed-image decision support apparatus includes a hardware processor. The hardware processor performs, among multiple types of failed-image determination processes, at least one failed-image determination process on a medical image, thereby generating a determination result and determination basis information indicating a basis for the determination result, and controls output of the determination result and the determination basis information.

Abstract: A radiographic image analysis apparatus comprising: a communicator that acquires from an image-capturing apparatus a radiographic image captured by irradiating a subject with radiation, and transmits the radiographic image acquired to a medical image management system; and one or more hardware processors, wherein the one or more hardware processors: analyze the radiographic image before transmission to the medical image management system by the communicator, determine whether an analysis result analyzed is appropriate, and present information about the radiographic image that is a reason for a determination to be inappropriate, when it is determined that the analysis result determined is inappropriate.

Abstract: Provided is a dynamic image processing apparatus that includes: at least one hardware processor; and an outputter that outputs information on a setting value of a respiratory assistance apparatus, and the at least one hardware processor extracts the information by processing at least one dynamic image imaged by irradiating lungs of a subject, who is put on the respiratory assistance apparatus, with radiation.

Abstract: An estimation method includes: obtaining a first voice feature group of a plurality of persons who speak a first language; obtaining a second voice feature group of a plurality of persons who speak a second language; obtaining a voice feature of a subject; correcting the voice feature of the subject according to a relationship between the first voice feature group and the second voice feature group; estimating, from the voice feature of the subject that has been corrected, an oral function or a cognitive function of the subject by using an estimation process for an oral function or a cognitive function based on the second language; and outputting a result of estimation of the oral function or the cognitive function of the subject.

Abstract: Disclosed is a mobile radiographic imaging apparatus, including: a hardware processor that acquires a moving image composed of a series of frames from an imaging pert that captures the moving image by irradiating a subject with radiation; and a display part that displays a display image based on the moving image. The display port displays a first specific frame in a former portion of the series of frames and a second specific frame in a latter portion of the series of frames as still images.

Abstract: An image processing apparatus includes a hardware processor that acquires a plurality of frame images constituting a radiographed dynamic image of a subject, sets an analysis portion in a reference frame image among the plurality of frame images, selects one tracking algorithm from a plurality of tracking algorithms, tracks the analysis portion in a time direction on the basis of the one tracking algorithm, and outputs a tracking result of the tracking.

Abstract: Disclosed is an image judgment device including a hardware processor that functions as an image acquirer that acquires image data of a medical image that is obtained by radiographing of a part including a region to be diagnosed of a patient, a segmentation unit that extracts an anatomical structure from the medical image to generate an extracted image, an image converter that performs image conversion on the extracted image to generate a converted image; a feature value extractor that calculates a feature value from the extracted image and/or the converted image by using a result of machine learning; and a judgment unit that judges whether the medical image is taken with positioning appropriate for diagnosis based on the feature value by using a result of machine learning concerning feature values.

Abstract: An image analyzer includes a hardware processor that acquires an image obtained by performing still image capturing or dynamic imaging of a subject at least while wearing a ventilator or within a predetermined time after removing the ventilator and generates information regarding presence or absence of complications related to the ventilator of the subject based on the acquired image.

Abstract: A radiographic imaging system includes a radiographic imager, an optical imager and an optical imaging condition setter. The radiographic imager detects radiation emitted from a radiation source and passed through a subject to take a radiograph. The optical imager takes an optical image of a region including a region to which the radiation is emitted from the radiation source. The optical imaging condition setter sets an optical imaging condition of the optical imager based on a radiographic imaging condition for the radiograph.

Abstract: A failed-image decision support apparatus includes a hardware processor and an outputter. The hardware processor performs, among multiple types of failed-image determination processes, at least one failed-image determination process on a medical image, thereby generating a determination result and determination basis information indicating a basis for the determination result. The outputter outputs the determination result and the determination basis information. Another failed-image decision support apparatus includes a hardware processor. The hardware processor performs, among multiple types of failed-image determination processes, at least one failed-image determination process on a medical image, thereby generating a determination result and determination basis information indicating a basis for the determination result, and controls output of the determination result and the determination basis information.

Abstract: An image failure determination supporting apparatus includes a hardware processor. The hardware processor obtains imaged site information regarding an imaged site of a radiation image. The hardware processor outputs determination supporting information which supports determination of whether the radiation image is an image failure according to the obtained imaged site information.

Abstract: A radiographic imaging system includes a radiographic imager, an optical imager and an optical imaging condition setter. The radiographic imager detects radiation emitted from a radiation source and passed through a subject to take a radiograph. The optical imager takes an optical image of a region including a region to which the radiation is emitted from the radiation source. The optical imaging condition setter sets an optical imaging condition of the optical imager based on a radiographic imaging condition for the radiograph.

Abstract: Disclosed is an image judgment device including a hardware processor that functions as an image acquirer that acquires image data of a medical image that is obtained by radiographing of a part including a region to be diagnosed of a patient, a segmentation unit that extracts an anatomical structure from the medical image to generate an extracted image, an image converter that performs image conversion on the extracted image to generate a converted image; a feature value extractor that calculates a feature value from the extracted image and/or the converted image by using a result of machine learning; and a judgment unit that judges whether the medical image is taken with positioning appropriate for diagnosis based on the feature value by using a result of machine learning concerning feature values.

Abstract: There is provided a radiation imaging system including a radiation emitting apparatus 3 having a radiation source 34 that generates radiation, a radiation imaging apparatus 100B that receives radiation and generates radiation image data, and a hardware processor. The hardware processor detects height of the radiation source 34 and height of the radiation imaging apparatus 100B. The hardware processor further calculates a distance from a focal point of the radiation generated by the radiation source 34 to the radiation imaging apparatus 100B based on the height of the radiation source 34 and the height of the radiation imaging apparatus 100B, and causes a display to display the calculated distance.

Abstract: A first gear train couples one shaft with the left axle or the right axle. The one shaft is one of two shafts which are not coupled to the reduction gear. The other one of the two shafts is coupled with one element which are not coupled to the first gear train among three elements of the differential case, the left axle and the right axle. The planetary gear mechanism, first gear train and second gear train have a gear ratio by which rotation of a motor stops when the differential apparatus does not perform differential operation and total torque of the left axle and the right axle when torque of the motor is applied does not change. The motor is disposed at one side in a vehicle widthwise direction with reference to the differential apparatus, and a planetary gear mechanism is disposed at the other side.

Abstract: An image processing apparatus includes the following. A hardware processor decomposes a signal value of input image data into band-limited signals having different frequency bands from each other. A storage stores pieces of preset data. Each of the pieces of preset data comprises tables to associate frequency with a response and to prescribe different response properties from each other. The hardware processor selects a piece of preset data from the pieces of preset data stored in the storage, converts the decomposed band-limited signals on a basis of tables in the selected piece of preset data, reconstructs the converted band-limited signals into enhanced image data, and generates a frequency-enhanced image through addition of the enhanced image data which is multiplied by a predetermined enhancement coefficient to the input image data.

Abstract: A differential apparatus including a pair of left and right outputting shafts is interposed between a left shaft and a right shaft of a vehicle, and a motor is coupled to the differential apparatus. A reverse rotating mechanism which generates rotation being reverse to a first outputting shaft being one of the outputting shafts and having a same rotational speed as the first outputting shaft is provided. A changeover mechanism for controlling a power transmission state is interposed between the left shaft coupled to the first outputting shaft and the reverse rotating mechanism. The changeover mechanism has a first state where the left shaft is coupled to the first outputting shaft, a second state where the left shaft in not coupled to the differential apparatus and the reverse rotating mechanism, and a third state where the left shaft is coupled to the reverse rotating mechanism.

Abstract: A driving force adjustment apparatus includes a differential apparatus, a driving source, an adjusting motor and a planetary gear mechanism of three elements and two degree-of-freedom. A driving shaft is coupled to a first element of the planetary gear mechanism and is coaxially arranged with the planetary gear mechanism. A first gear train adjusts a reduction ratio between a second element of the planetary gear mechanism and one of the left and right shafts and couples them. A second gear train adjusts a reduction ratio between the driving shaft and the differential case of the differential apparatus and couples them. A third gear train adjusts a reduction ratio between the driving source and the driving shaft and couples them. A fourth gear train adjusts a reduction ratio between a third element of the planetary gear mechanism and the adjusting motor and couples them.

Abstract: A driving force adjustment apparatus comprises: a driving source that drives a left shaft and a right shaft of a vehicle; a motor that regulates driving forces that are to be distributed to the left shaft and the right shaft; a left side gear train that adjusts a reduction ratio of the left shaft; a right side gear train that adjusts a reduction ratio of the right shaft; and a planetary gear mechanism that comprises four elements and has two degrees of freedom, the four elements being connected each to one of the driving source, the motor, the left side gear train, and the right side gear train. This configuration integrates the differential mechanism for the left and right wheels and the mechanism for adjusting the driving forces of the left and right wheels, aiming at enhancement in mountability and weight reduction.

Abstract: A differential apparatus including a pair of left and right outputting shafts is interposed between a left shaft and a right shaft of a vehicle, and a motor is coupled to the differential apparatus. A reverse rotating mechanism which generates rotation being reverse to a first outputting shaft being one of the outputting shafts and having a same rotational speed as the first outputting shaft is provided. A changeover mechanism for controlling a power transmission state is interposed between the left shaft coupled to the first outputting shaft and the reverse rotating mechanism. The changeover mechanism has a first state where the left shaft is coupled to the first outputting shaft, a second state where the left shaft in not coupled to the differential apparatus and the reverse rotating mechanism, and a third state where the left shaft is coupled to the reverse rotating mechanism.