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MIRACLE at ImageCLEFannot 2008: Nearest Neighbour Classification of Image Feature Vectors for Medical Image Annotation
Cita
Lana Serrano, Sara 
ORCID: https://orcid.org/0000-0003-2003-5385, Villena Román, Julio, González Cristóbal, José Carlos ORCID: https://orcid.org/0000-0002-1461-2695 and Goñi Menoyo, José Miguel ORCID: https://orcid.org/0000-0001-8922-5529
(2009).
MIRACLE at ImageCLEFannot 2008: Nearest Neighbour Classification of Image Feature Vectors for Medical Image Annotation.
En:
"Evaluating Systems for Multilingual and Multimodal Information Access".
Lecture Notes in Computer Science
(5706).
Springer, Berlin, Alemania, pp. 728-731.
ISBN 978-3-642-04446-5.
https://doi.org/10.1007/978-3-642-04447-2_93.
ORCID: https://orcid.org/0000-0003-2003-5385, Villena Román, Julio, González Cristóbal, José Carlos ORCID: https://orcid.org/0000-0002-1461-2695 and Goñi Menoyo, José Miguel ORCID: https://orcid.org/0000-0001-8922-5529
(2009).
MIRACLE at ImageCLEFannot 2008: Nearest Neighbour Classification of Image Feature Vectors for Medical Image Annotation.
En:
"Evaluating Systems for Multilingual and Multimodal Information Access".
Lecture Notes in Computer Science
(5706).
Springer, Berlin, Alemania, pp. 728-731.
ISBN 978-3-642-04446-5.
https://doi.org/10.1007/978-3-642-04447-2_93.
Descripción
| Título: | MIRACLE at ImageCLEFannot 2008: Nearest Neighbour Classification of Image Feature Vectors for Medical Image Annotation |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Sección de Libro |
| Título del Evento: | 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008 |
| Fechas del Evento: | 17/09/2008-19/09/2008 |
| Lugar del Evento: | Aarhus, Dinamarca |
| Título del Libro: | Evaluating Systems for Multilingual and Multimodal Information Access |
| Fecha: | 2009 |
| ISBN: | 978-3-642-04446-5 |
| Nombre de la Serie: | Lecture Notes in Computer Science |
| Número: | 5706 |
| Materias: | |
| ODS: | |
| Escuela: | E.U.I.T. Telecomunicación (UPM) [antigua denominación] |
| Departamento: | Ingeniería y Arquitecturas Telemáticas [hasta 2014] |
| Grupo Investigación UPM: | Grupo de Sistemas Inteligentes |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
This paper describes the participation of MIRACLE research consortium at the ImageCLEF Medical Image Annotation task of ImageCLEF 2008.
During the last year, our own image analysis system was developed, based on MATLAB. This system extracts a variety of global and local features including histogram, image statistics, Gabor features, fractal dimension, DCT and DWT coefficients, Tamura features and co-occurrence matrix statistics. A classifier based on the k-Nearest Neighbour algorithm is trained on the extracted image feature vectors to determine the IRMA code associated to a given image. The focus of our participation was mainly to test and evaluate this system in-depth and to compare among diverse configuration parameters such as number of images
for the relevance feedback to use in the classification module...
Más información
| ID de Registro: | 1479 |
|---|---|
| Identificador DC: | https://oa.upm.es/1479/ |
| Identificador OAI: | oai:oa.upm.es:1479 |
| Identificador DOI: | 10.1007/978-3-642-04447-2_93 |
| URL Oficial: | http://www.springerlink.com/content/mq101747972206... |
| Depositado por: | José Miguel Goñi Menoyo |
| Depositado el: | 13 Jul 2012 11:00 |
| Ultima Modificación: | 22 Dic 2017 10:01 |
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