Abstract:
The invention relates to a method, an apparatus, a Graphical User Interface and a computer program product for transforming speech to text. In a speech recognition step (100) a text is provided to which an automatic text modification based on text modification rules is applied (102). Text portions to which the modification applies, are highlighted in the text (106) and at least one suggestion for the modification is displayed to a user (110), being enabled to select one of the suggestions and therefore having control over the automatic text modification process (112). For example the rules identify text portions relating to ambiguous speech or missing text formatting characters that might have been misinterpreted in the speech recognition step.
Abstract:
The desired orthogonalized boundary value malphaortho is calculated by linear combination of the desired boundary value malpha with the desired boundary value mbeta from the attributes beta which has a higher range than attribute alpha. Independent claims are also included for: (a) a speech recognition system (b) a training device.
Abstract:
A system and method for automatic segmentation, performed by selecting a deformable model of an anatomical structure of interest imaged in a volumetric image, the deformable model formed of a plurality of polygons including vertices and edges, displaying the deformable model on a display, detecting a feature point of the anatomical structure of interest corresponding to each of the plurality of polygons and adapting the deformable model by moving each of the vertices toward the corresponding feature points until the deformable model morphs to a boundary of the anatomical structure of interest, forming a segmentation of the anatomical structure of interest.
Abstract:
The present invention relates to a method, a computer system and a computer program product for speech recognition and/or text formatting by making use of topic specific statistical models. A text document which may be obtained from a first speech recognition pass is subject to segmentation and to an assignment of topic specific models for each obtained section. Each model of the set of models provides statistic information about language model probabilities, about text processing or formatting rules, as e.g. the interpretation of commands for punctuation, formatting, text highlighting or of ambiguous text portions requiring specific formatting, as well as a specific vocabulary being characteristic for each section of the recognized text. Furthermore, other properties of a speech recognition and/or formatting system (such as e.g. settings for the speaking rate) may be encoded in the statistical models. The models themselves are generated on the basis of annotated training data and/or by manual coding. Based on the assignment of models to sections of text an improved speech recognition and/or text formatting procedure is performed.
Abstract:
The invention relates to a method, a computer program product and a computer system for structuring an unstructured text by making use of statistical models trained on annotated training data. Each section of text in which the text is segmented is further assigned to a topic which is associated to a set of labels. The statistical models for the segmentation of the text and for the assignment of a topic and its associated labels to a section of text explicitly accounts for: correlations between a section of text and a topic, a topic transition between sections, a topic position within the document and a (topic-dependent) section length. Hence structural information of the training data is exploited in order to perform segmentation and annotation of unknown text.
Abstract:
The invention relates to a method, a computer program product, a segmentation system and a user interface for structuring an unstructured text by making use of statistical models trained on annotated training data. The method performs text segmentation into text sections and assigns labels to text sections as section headings. The performed segmentation and assignment is provided to a user for general review. Additionally, alternative segmentations and label assignments are provided to the user being capable to select alternative segmentations and alternative labels as well as to enter a user defined segmentation and user defined label. In response to the modifications introduced by the user, a plurality of different actions are initiated incorporating the re-segmentation and re-labelling of successive parts of the document or the entire document. Furthermore the method comprises a learning functionality, logging and analyzing user introduced modifications for adaptation of the method to the user's preferences and for further training of the statistical models.
Abstract:
The invention relates to an adaptation system for adapting a deformable model to an object of interest in an image data set, the system comprising a propagator for propagating a set of predetermined transformation parameters to the model segments that have not yet been activated for adaptation to the image; an activator for activating at least one model segment from the model segments that have not yet been activated for adaptation to the image; and an adapter for adapting the deformable model by optimizing model energy of the deformable model, said model energy comprising internal energy of the plurality of model segments and external energy of at least the latest activated model segment(s). By enabling propagation of the transformation parameters from the model segments that have been adapted to the image to the model segments that have not been adapted to the image, this invention can improve the robustness and flexibility of the adaptation.
Abstract:
The invention relates to a system (100) for registering a vessel model with an image data set based on a joined model comprising a reference object model and the vessel model, the system comprising: a placement unit (110) for placing the joined model in a space of the image data set, thereby creating a placed joined model comprising a placed reference object model and a placed vessel model; a computation unit (120) for computing a deformation field based on a landmark displacement field comprising displacements of landmarks of the placed reference object model relative to corresponding landmarks in the image data set; a transformation unit (130) for transforming the placed joined model using the deformation field, thereby creating a transformed joined model comprising a transformed reference object model and a transformed vessel model; and a registration unit (140) for registering the transformed vessel model with the image data set based on modifying the transformed vessel model and optimizing an objective function of the modified transformed vessel model, wherein the objective function comprises a location-prior term based on a localization of the modified transformed vessel model relative to the transformed joined model. Hence, the system is arranged to model a vessel taking into account the localization of a vessel model relative to a reference anatomical structure described by a reference model.
Abstract:
The invention relates to a system (100) for obtaining information relating to segmented volumetric medical image data, the system comprising: a display unit (110) for displaying a view of the segmented volumetric medical image data on a display; an indication unit (115) for indicating a location on the displayed view; a trigger unit (120) for triggering an event; an identification unit (125) for identifying a segmented anatomical structure comprised in the segmented volumetric medical image data based on the indicated location on the displayed view in response to the triggered event; and an execution unit (130) for executing an action associated with the identified segmented anatomical structure, thereby obtaining information relating to the segmented volumetric medical image data. The action executed by the execution unit (130) may be displaying a name of the segmented anatomical structure, a short description of the segmented anatomical structure, or a hint on a potential malformation or malfunction of the segmented anatomical structure. Thus, the system (100) allows obtaining valuable information relating to the volumetric medical image data viewed by a physician on the display, thereby assisting the physician in medical diagnosing.