Abstract: A method for analysis of 2-D gel images obtained using electrophoresis. More particularly, a molecular block-matching method for establishing the correspondence between protein spots in a diagnostic-test image and protein spots in a reference image. Individual protein spot matching is performed, thereby removing the need for alignment of the entire reference and test images and permitting automatic labeling of individual protein spots. The method for analysis of 2-D gel images is fully automated, thus making it ideally suited for protein information retrieval systems.
Type:
Grant
Filed:
April 24, 2012
Date of Patent:
November 25, 2014
Assignees:
Universidade da Coruna. OTRI, Servizo Galego de Saude (Sergas)
Inventors:
Francisco Blanco García, Cristina Ruiz Romero, Julián Alfonso Dorado De La Calle, Alejandro Celestino Pazos Sierra, Ana Belén Porto Pazos, Juan Ramón Rabuñal Dopico, Cristian Robert Munteanu, Ana Maria Freire Veiga, Jose Antonio Seoane Fernández, Alvaro Rodriguez Tajes, Enrique Fernández Blanco, Carlos Fernandez Lozano, Javier Pereira Loureiro
Abstract: Disclosed embodiments include a Java messaging method for efficient inter-node and intra-node communications on computer systems with multi-core processors interconnected via high-speed network interconnections. According to one embodiment, the Java messaging method accesses the high-speed networks and memory more directly and reduces message buffering. Additionally, intra-node communications utilize shared memory transfers within the same Java Virtual Machine. The described Java messaging method does not compromise Java portability and is both user and application transparent.
Type:
Grant
Filed:
February 20, 2012
Date of Patent:
September 16, 2014
Assignee:
Universidade da Coruna-Otri
Inventors:
Guillermo Lopez Taboada, Juan Tourino Dominguez, Ramon Doallo Biempica
Abstract: Disclosed embodiments include a method for retinal image analysis implemented in a medical system with one or more processors comprising the method steps of: (a) locating an optical disk on the retinal images and establishing a plurality of circumferences centered at the disk; (b) detecting a plurality of vessels within a region defined by said circumferences' radii using a crease-based algorithm; (c) extracting a plurality of vessel segments based on a deformable models (snakes) algorithm; and d) automatically classifying the vessels and computing clinical parameters.
Type:
Grant
Filed:
July 27, 2011
Date of Patent:
January 15, 2013
Assignees:
Universidade da Coruna-Otri, Universidade de Santiago de Compostela, Servicio Galego de Saude (Sergas)
Inventors:
Francisco Gómez-Ulla de Irazazábal, Manuel Francisco González Penedo, Antonio Pose Reino, Noelia Barreira Rodríguez, Marcos Ortega Hortas, María José Carreira Nouche, Antonio Mosquera González
Abstract: Disclosed embodiments include a method for retinal image analysis implemented in a medical system with one or more processors comprising the method steps of: (a) locating an optical disk on the retinal images and establishing a plurality of circumferences centered at the disk; (b) detecting a plurality of vessels within a region defined by said circumferences' radii using a crease-based algorithm; (c) extracting a plurality of vessel segments based on a deformable models (snakes) algorithm; (d) measuring a plurality of vessel calibers; (e) classifying each vessel as a vein and an artery; and (f) computing an arteriolar-to-venular ratio.
Type:
Grant
Filed:
February 1, 2011
Date of Patent:
January 8, 2013
Assignees:
Universidade da Coruna-Otri, Universidade de Santiago de Compostela, Servicio Galego de Saude (Sergas)
Inventors:
Manuel F. González Penedo, Noelia Barreira Rodriguez, Marcos Ortega Hortas, Antonio Mosquera González, Maria Jose Carreira Nouche, Francisco Gomez-Ulla de Irazazabal, Antonio Pose Reino
Abstract: Disclosed embodiments include a recommendation system and apparatus comprising a tendencies based collaborative filtering method. In a particular embodiment, the Tendencies Based Collaborative Filtering Method (TBCFM) is based on the user mean, the item mean, the user tendency calculated using a User Tendency Calculation Method (UTCM); and the item tendency calculated using a Item Tendency Calculation Method (ITCM).
Type:
Application
Filed:
May 30, 2012
Publication date:
December 6, 2012
Applicant:
UNIVERSIDADE DA CORUNA (OTRI)
Inventors:
Fidel Cacheda Seijo, Victor Manuel Carneiro Diaz, Breixo Formoso López, Diego Fernández Iglesias, Ana María Freire Veiga