Abstract: Provided is an ultrasonic flow sensor with improved practicality. An ultrasonic wave is transmitted and received by an ultrasonic element. A first flow rate value of a fluid in a pipe is calculated based on a propagation time difference of an ultrasonic signal, a measurement value corresponding to an ultrasonic velocity, and a parameter for identifying an inner diameter of the pipe. A second flow rate value of the fluid in the pipe is calculated based on a frequency shift of the ultrasonic signal and the parameter. The first flow rate value is calculated using a propagation time of the ultrasonic signal as the measurement value in accordance with a correspondence relationship among a distance of a path through which the ultrasonic wave propagates through the fluid in the pipe, a time for which the ultrasonic signal propagates in the path, and the ultrasonic velocity.

Abstract: It is possible to perform prompt and accurate diagnosis of a pneumatic device while mitigating a burden on a user at the time of introduction. A flow sensor includes: a flow rate measuring element for measuring a flow rate of a working gas in a pipe; a pressure measuring element for measuring a pressure of the working gas in the pipe; and an evaluation unit that determines a characteristic amount indicating an operation of the pneumatic device based on a combination of the flow rate measured by the flow rate measuring element and the pressure measured by the pressure measuring element, and evaluates the operation of the pneumatic device based on the determined characteristic amount.

Abstract: An image processing method is executed by a computer and the method includes: extracting an organ region representing an organ and a tumor candidate region having a feature for identifying a tumor in the organ from image data obtained by capturing an image of the organ; generating a non-organ region representing a region where the organ is not present using the image data; and removing, from the extracted tumor candidate region, a tumor candidate region being present only at an outer edge portion of the non-organ region in the organ region.

Abstract: A non-transitory computer-readable storage medium storing an image identification program that causes at least one computer to execute a process, the process includes acquiring a three-dimensional partial area of a certain size from three-dimensional volume data generated based on a plurality of tomographic images obtained by imaging an inside of a human body; generating a plurality of projection images by performing extreme intensity projection on each voxel value of the partial area in a plurality of mutually orthogonal directions; and specifying one state of the partial area among a plurality of states based on the plurality of projection images.

Abstract: The invention relates to a steel wire suitable for making a spring or medical wire products which remarkably improve the performance of conventional stainless steel wire. The steel comprises (in wt. %): C: 0.02 to 0.15, Si: 0.1 to 0.9, Mn: 0.8 to 1.6, Cr 16 to 20, Ni: 7.5 to 10.5, Mo: ?3, Al: 0.5 to 2.5, Ti: ?0.15, N: ?0.05, optional elements, and impurities, balance Fe, wherein the total amount of Cr and Ni is 25 to 27 wt. %, and wherein the steel has a microstructure including, in volume % (vol. %), martensite: 40 to 90, austenite: 10 to 60, and delta ferrite: ?5.

Abstract: Provided is an ultrasonic flow sensor with improved practicality. An ultrasonic wave is transmitted and received by an ultrasonic element. A first flow rate value of a fluid in a pipe is calculated based on a propagation time difference of an ultrasonic signal, a measurement value corresponding to an ultrasonic velocity, and a parameter for identifying an inner diameter of the pipe. A second flow rate value of the fluid in the pipe is calculated based on a frequency shift of the ultrasonic signal and the parameter. The first flow rate value is calculated using a propagation time of the ultrasonic signal as the measurement value in accordance with a correspondence relationship among a distance of a path through which the ultrasonic wave propagates through the fluid in the pipe, a time for which the ultrasonic signal propagates in the path, and the ultrasonic velocity.

Abstract: The invention relates to a steel wire suitable for making a spring or medical wire products which remarkably improve the performance of conventional stainless steel wire. The steel comprises (in wt. %): C: 0.02 to 0.15, Si: 0.1 to 0.9, Mn: 0.8 to 1.6, Cr 16 to 20, Ni: 7.5 to 10.5, Mo: ?3, Al: 0.5 to 2.5, Ti: ?0.15, N: ?0.05, optional elements, and impurities, balance Fe, wherein the total amount of Cr and Ni is 25 to 27 wt. %, and wherein the steel has a microstructure including, in volume % (vol. %), martensite: 40 to 90, austenite: 10 to 60, and delta ferrite: ?5.

Abstract: A diagnosis method performed by a computer includes: executing a process that includes specifying a first case image group which includes one or more case images which have a same abnormality as a first abnormality detected from an image of a subject among plural case images about each of plural patients, each of the plural case images indicating an image in which a progression stage of a disease is different; executing a first selection process that includes calculating a first similarity about a site where the first abnormality appears between each of the one or more case images included in the first case image group and the image of the subject, and selecting a second case image group from the first case image group in accordance with the first similarity with respect to each of the one or more case images included in the first case image group.

Abstract: A non-transitory recording medium stores a program causing a computer to execute a process including determining a reference value on a decision surface classifying a group of image data represented by a plurality of types of feature quantities into two classes in a feature quantity space, based on a feature quantity of given image data that is closest to the decision surface and is classified into one of the classes of the group of image data in the feature quantity space, plotting and displaying pieces of image data of the group of image data along at least one axis indicating a degree of separation of each of the pieces of image data relative to the reference value, modifying, upon receiving a single piece of image data identified from the plotted and displayed pieces of image data, the decision surface based on the identified single piece of image data.

Abstract: A non-transitory computer-readable recording medium storing an image interpretation support program that causes a computer to execute a process, the process including generating first data indicating a first internal structure of a predetermined object, based on a first cross-sectional image group acquired with respect to the predetermined object; detecting a structural change of the first internal structure from a second internal structure of the predetermined object, based on second data indicating the second internal structure and the generated first data, the second data being generated based on a second cross-sectional image group acquired at a past time; identifying a new cross-section with respect to the predetermined object based on the structural change; generating a cross-sectional image of the predetermined object with respect to the new cross-section, based on the first cross-sectional image group; and displaying the generated cross-sectional image together with first information indicating the de

Abstract: A computation unit calculates luminance differences of individual pixel pairs in a feature area and calculates, based thereon, a local feature value formed from bit values respectively corresponding to the pixel pairs. Specifically, the computation unit calculates a specific luminance difference for a specific pixel pair corresponding to a specific bit value and then compares the result with a specified range including a zero point of luminance difference. Then a first value is assigned to the specific bit value when the specific luminance difference is greater than the upper bound of the specified range. A second value is assigned to the same when the specific luminance difference is smaller than the lower bound of the specified range. A predetermined one of the first and second values is assigned to the same when the specific luminance difference falls in the specified range.

Abstract: A diagnosis method performed by a computer includes: executing a process that includes specifying a first case image group which includes one or more case images which have a same abnormality as a first abnormality detected from an image of a subject among plural case images about each of plural patients, each of the plural case images indicating an image in which a progression stage of a disease is different; executing a first selection process that includes calculating a first similarity about a site where the first abnormality appears between each of the one or more case images included in the first case image group and the image of the subject, and selecting a second case image group from the first case image group in accordance with the first similarity with respect to each of the one or more case images included in the first case image group.

Abstract: A non-transitory recording medium stores a program causing a computer to execute a process including determining a reference value on a decision surface classifying a group of image data represented by a plurality of types of feature quantities into two classes in a feature quantity space, based on a feature quantity of given image data that is closest to the decision surface and is classified into one of the classes of the group of image data in the feature quantity space, plotting and displaying pieces of image data of the group of image data along at least one axis indicating a degree of separation of each of the pieces of image data relative to the reference value, modifying, upon receiving a single piece of image data identified from the plotted and displayed pieces of image data, the decision surface based on the identified single piece of image data.

Abstract: A non-transitory computer readable storage medium that stores a program for image processing that causes a computer to execute a process including: detecting a change in a lung based on a plurality of images of the chest scanned at different times, the change in the lung indicating that each position of each part of the lung changes toward a specified position of the lung, and outputting the change of the lung.

Abstract: A non-transitory computer-readable recording medium storing an image interpretation support program that causes a computer to execute a process, the process including generating first data indicating a first internal structure of a predetermined object, based on a first cross-sectional image group acquired with respect to the predetermined object; detecting a structural change of the first internal structure from a second internal structure of the predetermined object, based on second data indicating the second internal structure and the generated first data, the second data being generated based on a second cross-sectional image group acquired at a past time; identifying a new cross-section with respect to the predetermined object based on the structural change; generating a cross-sectional image of the predetermined object with respect to the new cross-section, based on the first cross-sectional image group; and displaying the generated cross-sectional image together with first information indicating the de

Abstract: An image processor includes: a memory; and a processor, wherein the processor is configured to: extract an arc area in an image captured by an image sensor; and determine whether a portion that protrudes from an arc in the arc area satisfies a first reference regarding a shape and detect the portion as a colony candidate when it is determined that the portion satisfies the first reference.

Abstract: A computation unit calculates luminance differences of individual pixel pairs in a feature area and calculates, based thereon, a local feature value formed from bit values respectively corresponding to the pixel pairs. Specifically, the computation unit calculates a specific luminance difference for a specific pixel pair corresponding to a specific bit value and then compares the result with a specified range including a zero point of luminance difference. Then a first value is assigned to the specific bit value when the specific luminance difference is greater than the upper bound of the specified range. A second value is assigned to the same when the specific luminance difference is smaller than the lower bound of the specified range. A predetermined one of the first and second values is assigned to the same when the specific luminance difference falls in the specified range.

Abstract: A method includes displaying a first image including a living body on a display apparatus, accepting specifying of a first area on the first image, extracting a first feature point group from an area in the first image, the area being located in a distance more than a threshold from the first area, acquiring a second image including the living body, the second image being captured at different timing from the first image, extracting a second feature point group corresponding to the first feature point group, from the second image, generating, by a processor, transformation information based on a positional relationship between the first feature point group and the second feature point group, for carrying out an image registration between the second image and the first image, executing transformation processing by applying the transformation information to the second image, and displaying a third image generated by the transformation processing.

Abstract: A memory stores area information indicating a pitcher area in which a pitcher is presumed to appear in an image that represents a pitching scene. A processor detects an edge pixel from a difference image that represents a difference between a first image at a first time and a second image at a second time that are included in a video, and identifies an edge area in which a plurality of edge pixels are aligned in a prescribed direction in the difference image. Then, the processor determines that the difference image represents the pitching scene on the basis of a size of the edge area included in the pitcher area indicated by the area information in the difference image and on the basis of a size of the edge area included in a prescribed area in the difference image.

Abstract: An image processing apparatus receives an input specifying a target in a first captured image group that is obtained by slicing a three-dimensional body into captured images at a first point in time, extracts feature points surrounding the specified target from the captured images of the first captured image group, specifies slice positions of each of the feature points that are extracted in captured images of a second captured image group that is obtained by slicing the three-dimensional body into the captured images at a second point in time, and outputs an image corresponding to a slice position range specified based on the specified slice positions of each of the extracted feature points, and corresponding to a range on a first plane specified based on positions of each of the extracted feature points on a second plane.