Abstract: Methods and systems are provided for tracking anatomical features across multiple images. One example method includes outputting, for display on a display device, an annotation indicative of a first location of an identified anatomical feature of a first ultrasound image, the annotation generated based on a first output of a model and outputting, for display on the display device, an adjusted annotation based on a second output of the model, the second output of the model generated based on a second ultrasound image and further based on the first output of the model, the adjusted annotation indicative of a second location of the identified anatomical feature in the second ultrasound image.

Abstract: Methods and systems are provided for tracking anatomical features across multiple images. One example method includes outputting, for display on a display device, an annotation indicative of a first location of an identified anatomical feature of a first ultrasound image, the annotation generated based on a first output of a model and outputting, for display on the display device, an adjusted annotation based on a second output of the model, the second output of the model generated based on a second ultrasound image and further based on the first output of the model, the adjusted annotation indicative of a second location of the identified anatomical feature in the second ultrasound image.

Abstract: A system and method for analyzing ultrasound scenes to provide needle guidance and warnings is provided. The method includes acquiring, by an ultrasound system, an ultrasound image. The method includes segmenting, by at least one processor, the ultrasound image to identify a plurality of structures in the ultrasound image. The method includes highlighting, by the at least one processor, the plurality of structures in the ultrasound image to create a highlighted ultrasound image. The method includes presenting, by the at least one processor, the highlighted ultrasound image at a display system. The method includes determining, by the at least one processor, a distance between at least two of the plurality of structures in the ultrasound image. The method includes providing, by the at least one processor, a warning if the distance between the at least two of the plurality of structures in the ultrasound image is less than a threshold.

Abstract: A system and method for facilitating interaction by an ultrasound operator with an artificial intelligence segmentation module configured to identify and track biological and/or artificial structures in ultrasound images is provided. The method includes acquiring an ultrasound image and segmenting the ultrasound image with artificial intelligence to identify structure(s) in the ultrasound image. The method includes labeling the structure(s) in the ultrasound image to create a labeled ultrasound image. The method includes presenting the labeled ultrasound image at a display system. The method includes receiving a user selection of at least one target corresponding with at least one labeled structure. The method includes tracking the selected target(s) by identifying the selected target(s) in subsequently acquired ultrasound images.

Abstract: Interactive detection of system anomalies is disclosed. One example is a system including a data processor, an anomaly processor, and an interaction processor. Input data related to a series of events and telemetry measurements is received by the data processor. The anomaly processor detects presence of a system anomaly in the input data, the system anomaly indicative of a rare situation that is distant from a norm of a distribution based on the series of events and telemetry measurements. The interaction processor is communicatively linked to the anomaly processor and to an interactive graphical user interface. The interaction processor displays, via the interactive graphical user interface, an output data stream based on the presence of the system anomaly, receives, from the interactive graphical user interface, feedback data associated with the output data stream, and provides the feedback data to the anomaly processor for operations analytics based on the feedback data.

Abstract: In some examples, a first pair of parameters in respective first and second log message streams associated with respective first and second source components and a second pair of parameters in the respective first and second log message streams may be identified. The first pair may be identical and the second pair may be identical. It may be determined that first pair of parameters was simultaneously generated and that the second pair of parameters was simultaneously generated in the first and in the second log message streams. A linkage score may be determined between the first and the second source components. The linkage score may be based on the determination that each of the respective first and the second pairs of parameters was simultaneously generated. It may be determined that that the first and second source components are topologically linked based on the linkage score.

Abstract: In a method for inferring a topology of components in a network, at least one operation parameter is provided for each of a plurality of components in a network, and a similarity measure is computed between at least two of said components based on values of said operation parameters. Based on said similarity measure, it is determined whether said two components are topologically connected, wherein said similarity measure is computed in terms of a normalized mutual information between said operation parameters pertaining to said two components.

Abstract: According to one example of the present invention there is provided a method of printing, with a printer, an image on a substrate, the printer comprising a substrate support. The method comprises obtaining an image to be printed, determining an offset position of a substrate positioned on the substrate support relative to a predetermined reference printing position, and controlling the printer to print the image to be printed at the determined offset position.

Abstract: Data analytics on encrypted data elements is disclosed. One example is a system including a first data system, a second data system, and a data analytics system. The first data system includes a first data element and a first encryption module with a first private key. The second data system includes a plurality of second data elements and a second encryption module with a second private key. The first encryption module and the second encryption module are communicatively linked to one another, to apply, via the first and second private keys, an encryption protocol to the first data element and the plurality of second data elements to encrypt the data elements. The data analytics system maps the encrypted data elements to an analytics space, performs data analytics based on the mapped data elements, and distributes, via a computing device, results of the data analytics to an information retrieval system.

Abstract: A print product designer provides for selection of spatial-structural components and includes a display module to display a visual representation of a print product incorporating selected spatial-structural components.

Abstract: In a method for inferring a topology of components in a network. At least one operation parameter is provided for each of a plurality of components in a network, and a similarity measure is computed between at least two of said components based on values of said operation parameters. Based on said similarity measure, it is determined whether said two components are topological connected, wherein a said similarity measure is computed in terms of a normalized mutual information between said operation parameters pertaining to said two components.

Abstract: In some examples, a first pair of parameters in respective first and second log message streams associated with respective first and second source components and a second pair of parameters in the respective first and second log message streams may be identified. The first pair may be identical and the second pair may be identical. It may be determined that first pair of parameters was simultaneously generated and that the second pair of parameters was simultaneously generated in the first and in the second log message streams. A linkage score may be determined between the first and the second source components. The linkage score may be based on the determination that each of the respective first and the second pairs of parameters was simultaneously generated. It may be determined that that the first and second source components are topologically linked based on the linkage score.

Abstract: According to one example of the present invention there is provided a method of printing, with a printer, an image on a substrate, the printer comprising a substrate support. The method comprises obtaining an image to be printed, determining an offset position of a substrate positioned on the substrate support relative to a predetermined reference printing position, and controlling the printer to print the image to be printed at the determined offset position.

Abstract: Visually interactive and iterative analysis of data patterns by a user is disclosed. One example is a system including a display module and an interaction processor. The display module displays, via an interactive graphical user interface, a visual representation of a plurality of data elements and respective data relations between the data elements, and wherein each data element is represented by pixel attributes of a pixel. The interaction processor iteratively and interactively processes analysis by a user based on identifying selection, by the user, of an arbitrarily shaped region of the visual representation, clipping the selected region by zooming in to the selected region, identifying, in the clipped region, selection of data elements of interest to the user, and prompting the display module to automatically blur visual representations of data elements different from the data elements of interest by modifying the pixel attributes of respective pixels.

Abstract: Measurement data relating to an image of a sample acquired by a measurement device is received (202). A problem is solved that seeks a solution for a spectrum (204) of the sample, based on a non-linear model for estimating a spectral response and on a profile of the measurement device.

Abstract: According to one example of the present invention there is provided a method of printing, with a printer, an image on a substrate, the printer comprising a substrate support. The method comprises obtaining an image to be printed, determining an offset position of a substrate positioned on the substrate support relative to a predetermined reference printing position, and controlling the printer to print the image to be printed at the determined offset position.

Abstract: Provided in an example is a method of compressing a digital image includes dividing the image into cells of constant physical size regardless of resolution of the image to produce cell data for each cell which defines content of the cell and compressing the cell data.

Abstract: Data entries can include values for each of a number of features that each have a number of permissible or possible values. The features and the permissible values thereof are ranked based on a graph constructed from the features and the permissible values. The data entries can include textual data for free-text features that do not have permissible values or possible values, and new features created based on information extracted from the textual data, where nodes and edges are added to the graph from these new features. Graphical elements corresponding to the features and graphical representations based on frequencies of the permissible values of the features can be displayed.

Abstract: Interactive detection of system anomalies is disclosed. One example is a system including a data processor, an anomaly processor, and an interaction processor. Input data related to a series of events and telemetry measurements is received by the data processor. The anomaly processor detects presence of a system anomaly in the input data, the system anomaly indicative of a rare situation that is distant from a norm of a distribution based on the series of events and telemetry measurements. The interaction processor is communicatively linked to the anomaly processor and to an interactive graphical user interface. The interaction processor displays, via the interactive graphical user interface, an output data stream based on the presence of the system anomaly, receives, from the interactive graphical user interface, feedback data associated with the output data stream, and provides the feedback data to the anomaly processor for operations analytics based on the feedback data.

Abstract: Data analytics on encrypted data elements is disclosed. One example is a system including a first data system, a second data system, and a data analytics system. The first data system includes a first data element and a first encryption module with a first private key. The second data system includes a plurality of second data elements and a second encryption module with a second private key. The first encryption module and the second encryption module are communicatively linked to one another, to apply, via the first and second private keys, an encryption protocol to the first data element and the plurality of second data elements to encrypt the data elements. The data analytics system maps the encrypted data elements to an analytics space, performs data analytics based on the mapped data elements, and distributes, via a computing device, results of the data analytics to an information retrieval system.