Abstract: A computer implemented method, a computerized system and a computer program product for image representation set creation. The computer implemented method comprises obtaining an image of a subject, wherein the image is produced using an imaging modality. The method further comprises automatically determining, by a processor, values to an image representation set with respect to the image, wherein the image representation set consists of semantic representation parameters of the image according to the imaging modality and according to a clinical diagnosis problem that is ascertainable from the image, wherein a total number of combinations of values of the semantic representation parameters is below a human comprehension threshold; and determining a decision regarding the clinical diagnosis problem based on the values of the image representation set of the image.

Abstract: A computer implemented method, a computerized system and a computer program product for generating questions. The computer implemented method comprising obtaining a question, wherein the question comprises one or more elements that define an answer for the question. The method further comprising obtaining the answer. The method further comprises automatically generating, by a processor, a new question based on the question and the answer. The automatic generation comprises determining a variant of the one or more elements, wherein the variant defines the answer, wherein the new question comprises the variant.

Abstract: A computer implemented method, a computerized system and a computer program product for automatic image segmentation. The computer implemented method comprises obtaining an image of a tissue, wherein the image is produced using an imaging modality. The method further comprises automatically identifying, by a processor, a tissue segment within the image, wherein said identifying comprises identifying an artifact within the image, wherein the artifact is a misrepresentation of a tissue structure, wherein the misrepresentation is associated with the imaging modality; and searching for the tissue segment in a location adjacent to the artifact.

Abstract: A method comprising using at least one hardware processor for applying a mapping function to a medical image, to generate a semantic description of a visual finding in the medical image. The mapping function is optionally an MRF (Markov random field)-based, SVM (Support Vector Machine) mapping function.

Abstract: A computer-implemented method for automating interaction with a computer system includes linking a control computer system to an input interface and to an output interface of a client computer system, which is operative for producing user interface images on a display device. The control computer system executes distinct software modules that include a virtual operator for simulating actions of a human operator. Execution of the software modules causes the control computer system to capture an image from the output interface, and to recognize information in the image. In response to the information, the virtual operator controls an input device to automatically execute predetermined operations on the client computer system via the input interface.

Abstract: Method, system, and computer program product are provided for processing an ultrasound image, in particular an image of inhomogeneous tissue. The method includes: segmenting tissue in a received ultrasound image; creating a mask of pixels centred on a pixel in a tissue area, wherein the pixels in the mask are within a given decibel range of the central pixel and within a segmentation boundary; and assigning an attenuation to the central pixel by estimating the attenuation of the pixels in the mask. The received ultrasound image may be a raw image the method may include creating an image of an attenuation mapping of attenuations for each pixel in a tissue area. Alternatively, the received ultrasound image may be a time gain compensated image the method may include determining areas of relatively high or low attenuation.

Abstract: A computerized method of classifying at least one suspicious region of interest (ROI) in an ultrasonic attenuation image mapping tissue of a patient. The method comprises receiving an US image of an tissue, identifying a suspicious region of interest (ROI) in the US image, generating an attenuation map of the suspicious ROI, measuring, according to an analysis of the attenuation map, at least one attenuation feature of at least one of the suspicious ROI and at least one sub region in the suspicious ROI, and classifying the suspicious ROI according to the at least one attenuation feature.

Abstract: A computer implemented method for correcting distortion in an image of a page includes identifying a set of high quality (HQ) words in undistorted regions of one or more images of pages having content related to the content of the page. At least one distorted word in the image the page is identified such that each distorted word corresponds to a high quality word of the set. A global transformation function is generated for application to the image of the page so as to transform the distorted word into its corresponding high quality word. The global transformation function is applied to pixels of the image of the page.

Abstract: A computerized method of classifying at least one suspicious region of interest (ROI) in an ultrasonic attenuation image mapping tissue of a patient. The method comprises receiving an US image of an tissue, identifying a suspicious region of interest (ROI) in the US image, generating an attenuation map of the suspicious ROI, measuring, according to an analysis of the attenuation map, at least one attenuation feature of at least one of the suspicious ROI and at least one sub region in the suspicious ROI, and classifying the suspicious ROI according to the at least one attenuation feature.

Abstract: A method, system and computer software product are provided for process automation. The method includes monitoring one or more workstations to obtain multiple sets of character and graphical information including user actions, times and durations associated with the user actions, user-entered data, and retrieved character and graphical screen data. The method further includes identifying functional events from the sets, defining focal states as respective historic patterns of the functional events, and generating a set of facilitating scripts associated with respective ones of the focal states. The facilitating scripts each provide one or more automatic actions in the workstations. At least a portion of the set of facilitating scripts are then executed.

Abstract: Systems and methods for enforcing compliance in a computing environment, the method comprising concurrently and independently executing a monitoring application with a first application utilized by a user, wherein navigating beyond a first decision point in the first application requires the user considering values associated with one or more elements in the first application, wherein the monitoring application monitors elements presented to the user to determine which elements are presented to the user at a point in time; and notifying the user of at least a first element, in response to not having been able to confirm whether a value associated with the first element has been considered by the user prior to said first decision point.

Abstract: A method, system, and computer program product are provided for process automation. The method includes: monitoring one or more workstations including monitoring screen contents and user actions at the workstation; and analysing the screen contents and user actions into monitored functional events. The method further includes: providing multiple focal states as defined sequences of functional events with one or more facilitating scripts associated with a focal state, wherein a facilitating script provides one or more automatic actions; and matching a sequence of monitored functional events to a defined sequence of functional events of a focal state. The one or more automatic actions of a facilitating script associated with the matched focal state are then applied.

Abstract: Method, system, and computer program product are provided for processing an ultrasound image, in particular an image of inhomogeneous tissue. The method includes: segmenting tissue in a received ultrasound image; creating a mask of pixels centred on a pixel in a tissue area, wherein the pixels in the mask are within a given decibel range of the central pixel and within a segmentation boundary; and assigning an attenuation to the central pixel by estimating the attenuation of the pixels in the mask. The received ultrasound image may be a raw image the method may include creating an image of an attenuation mapping of attenuations for each pixel in a tissue area. Alternatively, the received ultrasound image may be a time gain compensated image the method may include determining areas of relatively high or low attenuation.

Abstract: An automated mail sorting system including a display for displaying the image of an item of mail belonging to a carrier route, and input device for associating the image with any of a plurality of stations in a walking sequence of the carrier route, and a sorter having a reader for identifying the item of mail, to sorter for placing the item of mail in a location corresponding to the station in the walking sequence.

Abstract: A method (and system) of discovering a significant subset in a collection of documents, includes identifying a set of documents from a plurality of documents based on a likelihood that documents in the set of documents carries an instance of information that is characteristic to the documents in the set of documents.

Abstract: A method of defining a heart region from imaging data is provided. Received imaging data is projected into a first plane. A first threshold is applied to the first plane of data to eliminate data associated with air. A largest first connected component is identified from the first threshold applied data. A first center of mass of the identified largest first connected component is calculated to define a first coordinate and a second coordinate of the heart region. The received imaging data is projected into a second plane, wherein the second plane is perpendicular to the first plane. A second threshold is applied to the second plane of data to eliminate data associated with air. A largest second connected component is identified from the second threshold applied data. A second center of mass of the identified largest second connected component is calculated to define a third coordinate of the heart region.

Abstract: A method and system for monitoring a workstation. The system includes a monitoring system for monitoring activity on a workstation and an analysis module for comparing a monitored activity to specified activities in a work profile. The system may include an alert generator for generating an alert if the monitored activity does not conform to the work profile. The work profile may be a user profile of specified activities allowed to be performed by a user, and/or a transaction profile of a sequence of specified activities to be performed in a transaction by a user. The monitoring system includes an inputs monitor for monitoring inputs by the user into the workstation, a screen monitor which extracts content from a screen display viewed by a user, and a physical presence monitor to determine if a user is at his workstation.

Abstract: A method, system, and computer program product are provided for process automation. The method includes: monitoring one or more workstations including monitoring screen contents and user actions at the workstation; and analysing the screen contents and user actions into monitored functional events. The method further includes: providing multiple focal states as defined sequences of functional events with one or more facilitating scripts associated with a focal state, wherein a facilitating script provides one or more automatic actions; and matching a sequence of monitored functional events to a defined sequence of functional events of a focal state. The one or more automatic actions of a facilitating script associated with the matched focal state are then applied.

Abstract: A method of defining a heart region from imaging data is provided. Received imaging data is projected into a first plane. A first threshold is applied to the first plane of data to eliminate data associated with air. A largest first connected component is identified from the first threshold applied data. A first center of mass of the identified largest first connected component is calculated to define a first coordinate and a second coordinate of the heart region. The received imaging data is projected into a second plane, wherein the second plane is perpendicular to the first plane. A second threshold is applied to the second plane of data to eliminate data associated with air. A largest second connected component is identified from the second threshold applied data. A second center of mass of the identified largest second connected component is calculated to define a third coordinate of the heart region.

Abstract: A method (and system) for extracting information from a document, includes segregating a set of documents from a plurality of documents based on a likelihood that at least one document in the set of documents carries an instance of a preset information.