| Patent application number | Description | Published |
|---|
| 20100272338 | METHOD AND SYSTEM FOR CROSS-MODALITY CASE-BASED COMPUTER-AIDED DIAGNOSIS - A system and method for cross-modality case-based computer-aided diagnosis comprises storing a plurality of cases, each case including at least one image of one of a plurality of modalities and non-image information, mapping a feature relationship between a feature from images of a first modality to a feature from images of a second modality, and storing the relationship. | 10-28-2010 |
| 20100281037 | METHOD AND DEVICE FOR CASE-BASED DECISION SUPPORT - This invention relates to a method and device for case-based decision support. It proposes that a case-based decision support system is trained on inputs from several radiologists in order to have a “baseline” system, and then the system provides an option to a radiologist to refine the baseline system based on his/her inputs which either refine weights of features for similarity distance computation directly or provide new similarity ground truth clusters. By enabling modifying the similarity distance computation based on user inputs, this invention adapts similarity ground truth to different users with different experience and/or different opinions. | 11-04-2010 |
| 20100332250 | PRE-EXAMINATION MEDICAL DATA ACQUISITION SYSTEM - A pre-examination patient information gathering system comprises an electronic user interface ( | 12-30-2010 |
| 20110022622 | METHOD AND APPARATUS FOR REFINING SIMILAR CASE SEARCH - The invention relates to search for cases in a database. According to the proposed method and apparatus, similarity matching is performed between an input case and a set of cases in an initial search to receive similar cases by—using a given matching criterion. Then statistics on image and non-image-based features associated with the similar cases are calculated and presented to the user with the similar cases. In a search refinement the similar cases are refined by additional features that are determined by the user based on the statistics. The search refinement can be iterative depending on the user's need. | 01-27-2011 |
| Patent application number | Description | Published |
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| 20090041356 | Method and Device for Automatic Generation of Summary of a Plurality of Images - Method and device for providing a summary of a plurality of images, e.g. a video sequence. The method includes dividing the video sequence into a plurality of segments. The segments are analyzed with respect to content and a set of content descriptors are associated to the segments. Preferably, additional textual information about the segments, screenplay etc., is used to determine the content descriptors. A graph representing relations between the segments is constructed indicating relations between segments. Weights are associated to the relations so as to represent a measure of relation, e.g. a logical correlation, between segments. The weights are based on the calculated content descriptors. A relevance measure for a segment is determined based on all weights associated with relations to said segment. Finally, a summary is generated by selecting the most relevant segments. The method can create an automatic summary of a film that preserves all the logical plot of the original but is shorter in duration (e.g. | 02-12-2009 |
| 20090119704 | METHOD AND APPARATUS TO CATCH UP WITH A RUNNING BROADCAST OR STORED CONTENT | 05-07-2009 |
| 20090132510 | DEVICE FOR ENABLING TO REPRESENT CONTENT ITEMS THROUGH META SUMMARY DATA, AND METHOD THEREOF - The invention relates to a method of enabling to represent content items, the method comprising a step of obtaining a plurality of content item summary data of a respective one of the content items. The invention also relates to a device ( | 05-21-2009 |
| 20090138432 | CLINICIAN-DRIVEN EXAMPLE-BASED COMPUTER-AIDED DIAGNOSIS - Optimizing example-based computer-aided diagnosis (CADx) is accomplished by clustering volumes-of-interest (VOIs) ( | 05-28-2009 |
| 20090196569 | VIDEO TRAILER - A method of creating a collection ( | 08-06-2009 |
| 20100007726 | METHOD AND APPARATUS FOR CLASSIFYING A PERSON - Photo or video content of a person is acquired ( | 01-14-2010 |
| 20100008554 | METHOD TO AUTOMATICALLY DECODE MICROARRAY IMAGES - A method of automatically identifying the microarray chip corners and probes, even if there are no probes at the corners, in a high density and high resolution microarray scanned image having an image space, wherein the method minimizes the error distortions in the image arising in the scanning process by applying to the image a multipass corner finding algorithm comprising: (a) applying a Radon transform to an input microarray image to project the image into an angle and distance space where it is possible to find the orientation of the straight lines; (b) applying a fast Fourier transform to the projected image of (a) to find the optimal tilting angle of the projected image; (c) determining the optimal first and last local maxima for the optimal tilting angle; (d) back projecting the determined first and last local maxima to the image space to find the first approximation of the first and last column lines of the image; (e) rotating the image and repeating steps (a) through (d) to find the first approximation of the top and bottom row lines of the image; (f) determining the first approximation of the four corners of the image from the intersection of the column and row lines; (g) applying a heuristic for determining if the first approximation of step (f) is sufficient; and (h) optionally trimming the scanned image around the first approximation of the four corners and repeating steps (a) through (f). | 01-14-2010 |
| 20110142301 | ADVANCED COMPUTER-AIDED DIAGNOSIS OF LUNG NODULES - Methods are herein provided for decision support in diagnosis of a disease in a subject, and for extracting features from a multi-slice data set. Systems for computer-aided diagnosis are provided. The systems take as input a plurality of medical data and produces as output a diagnosis based upon this data. The inputs may consist of a combination of image data and clinical data. Diagnosis is performed through feature selection and the use of one or more classifier algorithms. | 06-16-2011 |
