Patents by Inventor Philip Amburn
Philip Amburn 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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Patent number: 6778941Abstract: A method and system for filtering messages where the importance of a message is determined by analyzing the message body in conjunction with message attributes. Message body refers to the text in the body of the message, whereas message attributes convey information about the message. In another embodiment, analysis of the user's current computing environment provides additional input to the filtering system. This allows for preferentially weighting messages of user's current interests. Analysis includes computation of feature vectors and subsequent input to a discriminant function. The discriminant function provides a test statistic which is compared to a threshold. If the test statistic exceeds the threshold, the incoming message is passed by the filtering system and may be displayed to the user. In another embodiment, message body and attributes are used to anticipate significant events in a time series, such as streaming financial data.Type: GrantFiled: November 13, 2001Date of Patent: August 17, 2004Assignee: Qualia Computing, Inc.Inventors: Steven W. Worrell, Steven K. Rogers, Matthew Kabrisky, Philip Amburn
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Patent number: 6650766Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: October 25, 2002Date of Patent: November 18, 2003Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. DeSimio, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas F. Rathbun, John E. Rosenstengel
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Patent number: 6556699Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: August 24, 2001Date of Patent: April 29, 2003Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. DeSimio, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas P. Rathbun, John E. Rosenstengel
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Publication number: 20020081006Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: ApplicationFiled: August 24, 2001Publication date: June 27, 2002Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. DeSino, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas P. Rathbun, John E. Rosenstengel
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Patent number: 6205236Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: October 12, 1999Date of Patent: March 20, 2001Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. DeSimio, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas F. Rathbun, John E. Rosenstengel
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Patent number: 6167146Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: October 14, 1999Date of Patent: December 26, 2000Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. Desimio, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas F. Rathbun, John E. Rosenstengel
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Patent number: 6115488Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: October 14, 1999Date of Patent: September 5, 2000Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. Desimio, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas P. Rathbun, John E. Rosenstengel
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Patent number: 6091841Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: October 14, 1999Date of Patent: July 18, 2000Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. DeSimio, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas F. Rathbun, John E. Rosenstengel
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Patent number: 5999639Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: August 28, 1998Date of Patent: December 7, 1999Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. DeSimio, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas P. Rathbun, John E. Rosenstengel