Patents by Inventor Hayit Greenspan
Hayit Greenspan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20150363672Abstract: A method of generating a category model for classifying medical images. The method comprises providing a plurality of medical images each categorized as one of a plurality of categorized groups, generating an index of a plurality of visual words according to a distribution of a plurality of local descriptors in each the image, modeling a category model mapping a relation between each visual word and at least one of the categorized groups according to the index, and outputting the category model for facilitating the categorization of an image based on local descriptors thereof.Type: ApplicationFiled: August 24, 2015Publication date: December 17, 2015Applicants: RAMOT AT TEL-AVIV UNIVERSITY LTD., Tel HaShomer Medical Research Infrastructure and Services Ltd., Bar-IIan Research And Development Company Ltd.Inventors: Hayit GREENSPAN, Jacob GOLDBERGER, Uri AVNI, Eli KONEN, Michal SHARON
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Patent number: 9122955Abstract: A method of generating a category model for classifying medical images. The method comprises providing a plurality of medical images each categorized as one of a plurality of categorized groups, generating an index of a plurality of visual words according to a distribution of a plurality of local descriptors in each the image, modeling a category model mapping a relation between each visual word and at least one of the categorized groups according to the index, and outputting the category model for facilitating the categorization of an image based on local descriptors thereof.Type: GrantFiled: June 28, 2011Date of Patent: September 1, 2015Assignees: Ramot at Tel-Aviv University Ltd., Tel HaShomer Medical Research Infrastructure and Services Ltd., Bar-Ilan UniversityInventors: Hayit Greenspan, Jacob Goldberger, Uri Avni, Eli Konen, Michal Sharon
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Publication number: 20150227695Abstract: Methods and systems for retrieving and processing medical diagnostic images are provided, comprising using picture analysis prioritization visualization and reporting system (“PAPVR system”) to determine whether each of one or more images from an image database or imaging device is of medical interest to a reviewing physician, determine whether one or more of the images is representative of the images, and provide the one or more images to a display and analysis system for review by a reviewing physician. The PAPVR system can provide the one or more images with a Key Image that is representative of the images. In addition, the PAPVR system can detect whether a patient suffers from a particular ailment, and provide a reviewing physician quantitative information that is relevant to the patient's condition.Type: ApplicationFiled: January 16, 2015Publication date: August 13, 2015Inventors: Moshe Becker, Hayit Greenspan, Eliahu Konen, Arnaldo Mayer
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Patent number: 9053551Abstract: Embodiments of the invention relate to a method, system, and computer program product to automate image classification with respect to coronary vessels in an angiography sequence. Two primary elements are employed, including training and recognition. Training pertains to the pre-processing images and extracting salient features that characterize the appearance of coronary arteries under different viewpoints. Recognition pertains to extraction of features from a new image sequence and determining a classification boundary for the new image from previously classified and labeled image sequences.Type: GrantFiled: May 23, 2012Date of Patent: June 9, 2015Assignee: International Business Machines CorporationInventors: David J. Beymer, Hayit Greenspan, Tanveer Syeda-Mahmood, Fei Wang, Yong Zhang
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Patent number: 9008393Abstract: Embodiments of the invention relate to automating image classification with respect to coronary vessels in an angiography sequence. Two primary elements are employed, including training and recognition. Training pertains to the pre-processing images and extracting salient features that characterize the appearance of coronary arteries under different viewpoints. Recognition pertains to extraction of features from a new image sequence and determining a classification boundary for the new image from previously classified and labeled image sequences.Type: GrantFiled: August 23, 2012Date of Patent: April 14, 2015Assignee: International Business Machines CorporationInventors: David J. Beymer, Hayit Greenspan, Tanveer Syeda-Mahmood, Fei Wang, Yong Zhang
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Patent number: 8953858Abstract: Methods and systems for retrieving and processing medical diagnostic images are provided, comprising using picture analysis prioritization visualization and reporting system (“PAPVR system”) to determine whether each of one or more images from an image database or imaging device is of medical interest to a reviewing physician, determine whether one or more of the images is representative of the images, and provide the one or more images to a display and analysis system for review by a reviewing physician. The PAPVR system can provide the one or more images with a Key Image that is representative of the images. In addition, the PAPVR system can detect whether a patient suffers from a particular ailment, and provide a reviewing physician quantitative information that is relevant to the patient's condition.Type: GrantFiled: January 28, 2011Date of Patent: February 10, 2015Assignees: Radlogics, Inc., Tel Hashomer Medical Research and Infrastructure and Services Ltd.Inventors: Moshe Becker, Hayit Greenspan, Eliahu Konen, Arnaldo Mayer
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Publication number: 20130315458Abstract: Embodiments of the invention relate to automating image classification with respect to coronary vessels in an angiography sequence. Two primary elements are employed, including training and recognition. Training pertains to the pre-processing images and extracting salient features that characterize the appearance of coronary arteries under different viewpoints. Recognition pertains to extraction of features from a new image sequence and determining a classification boundary for the new image from previously classified and labeled image sequences.Type: ApplicationFiled: August 23, 2012Publication date: November 28, 2013Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: David J. Beymer, Hayit Greenspan, Tanveer Syeda-Mahmood, Fei Wang, Yong Zhang
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Publication number: 20130315457Abstract: Embodiments of the invention relate to a method, system, and computer program product to automate image classification with respect to coronary vessels in an angiography sequence. Two primary elements are employed, including training and recognition. Training pertains to the pre-processing images and extracting salient features that characterize the appearance of coronary arteries under different viewpoints. Recognition pertains to extraction of features from a new image sequence and determining a classification boundary for the new image from previously classified and labeled image sequences.Type: ApplicationFiled: May 23, 2012Publication date: November 28, 2013Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: David J. Beymer, Hayit Greenspan, Tanveer Syeda-Mahmood, Fei Wang, Yong Zhang
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Publication number: 20130039552Abstract: Methods and systems for retrieving and processing medical diagnostic images are provided, comprising using picture analysis prioritization visualization and reporting system (“PAPVR system”) to determine whether each of one or more images from an image database or imaging device is of medical interest to a reviewing physician, determine whether one or more of the images is representative of the images, and provide the one or more images to a display and analysis system for review by a reviewing physician. The PAPVR system can provide the one or more images with a Key Image that is representative of the images. In addition, the PAPVR system can detect whether a patient suffers from a particular ailment, and provide a reviewing physician quantitative information that is relevant to the patient's condition.Type: ApplicationFiled: January 28, 2011Publication date: February 14, 2013Inventors: Moshe Becker, Hayit Greenspan, Eliahu Konen, Arnaldo Mayer
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Publication number: 20110317892Abstract: A method of generating a category model for classifying medical images. The method comprises providing a plurality of medical images each categorized as one of a plurality of categorized groups, generating an index of a plurality of visual words according to a distribution of a plurality of local descriptors in each the image, modeling a category model mapping a relation between each visual word and at least one of the categorized groups according to the index, and outputting the category model for facilitating the categorization of an image based on local descriptors thereof.Type: ApplicationFiled: June 28, 2011Publication date: December 29, 2011Applicants: Ramot at Tel-Aviv University Ltd., Bar-Ilan University, Tel HaShomer Medical Research Infrastructure and Serives Ltd.Inventors: Hayit GREENSPAN, Jacob GOLDBERGER, Uri AVNI, Eli KONEN, Michal SHARON
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Patent number: 7184100Abstract: A method of selecting key-frames (230) from a video sequence (210, 215) by comparing each frame in the video sequence with respect to its preceding and subsequent key-frames for redundancy where the comparison involves region and motion analysis. The video sequence is optionally pre-processed to detect graphic overlay. The key-frame set is optionally post-processed (250) to optimize the resulting set for face or other object recognition.Type: GrantFiled: March 24, 1999Date of Patent: February 27, 2007Assignee: MATE - Media Access Technologies Ltd.Inventors: Itzhak Wilf, Ovadya Menadeva, Hayit Greenspan
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Patent number: 6937766Abstract: A method for generating an index of the text of a video image sequence is provided. The method includes the steps of determining the image text objects in each of a plurality of frames of the video image sequence; comparing the image text objects in each of the plurality of frames of the video image sequence to obtain a record of frame sequences having matching image text objects; extracting the content for each of the similar image text objects in text string format; and storing the text string for each image text object as a video text object in a retrievable medium.Type: GrantFiled: April 13, 2000Date of Patent: August 30, 2005Assignee: MATE—Media Access Technologies Ltd.Inventors: Itzhak Wilf, Joseph Ladkani, Ovadya Menadeva, Hayit Greenspan
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Patent number: 5956427Abstract: A technique of determining information about orientation and amount of orientation of an image. The orientations of the image are sampled, and the samples are used to reconstruct information from which all orientations can be obtained. The samples each include information about specific components of the image, and these samples are assembled into a feature vector. The feature vector is discrete Fourier transformed whereby its continuous orientation information can be obtained.Type: GrantFiled: June 15, 1995Date of Patent: September 21, 1999Assignee: California Institute of TechnologyInventors: Hayit Greenspan, Serge Belongie