Texto completo
Vista Previa |
PDF (Portable Document Format)
- Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (122kB) | Vista Previa |
MIRACLE at ImageCLEFanot 2007: Machine Learning Experiments on 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
(2008).
MIRACLE at ImageCLEFanot 2007: Machine Learning Experiments on Medical Image Annotation.
En:
"Advances in Multilingual and Multimodal Information Retrieval".
Lecture Notes in Computer Science
(5152).
Springer, Berlin, pp. 597-600.
ISBN 978-3-540-85759-4.
https://doi.org/10.1007/978-3-540-85760-0_75.
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
(2008).
MIRACLE at ImageCLEFanot 2007: Machine Learning Experiments on Medical Image Annotation.
En:
"Advances in Multilingual and Multimodal Information Retrieval".
Lecture Notes in Computer Science
(5152).
Springer, Berlin, pp. 597-600.
ISBN 978-3-540-85759-4.
https://doi.org/10.1007/978-3-540-85760-0_75.
Descripción
| Título: | MIRACLE at ImageCLEFanot 2007: Machine Learning Experiments on Medical Image Annotation |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Sección de Libro |
| Título del Evento: | 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007 |
| Fechas del Evento: | 19/09/2007-21/09/2007 |
| Lugar del Evento: | Budapest, Hungria |
| Título del Libro: | Advances in Multilingual and Multimodal Information Retrieval |
| Fecha: | 2008 |
| ISBN: | 978-3-540-85759-4 |
| Nombre de la Serie: | Lecture Notes in Computer Science |
| Número: | 5152 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Medical image - image annotation - classification - IRMA code - axis - learning algorithms - nearest-neighbour - machine learning |
| 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 2007. Our areas of expertise do not include image analysis, thus we approach this task as a machine-learning problem, regardless of the domain. FIRE is used as a black-box algorithm to extract different groups of image features that are later used for training different classifiers based on kNN algorithm in order to predict the IRMA code. The main idea behind the definition of our experiments is to evaluate whether an axis-by-axis prediction is better than a prediction by pairs of axes or the complete code, or vice versa.
Más información
| ID de Registro: | 4652 |
|---|---|
| Identificador DC: | https://oa.upm.es/4652/ |
| Identificador OAI: | oai:oa.upm.es:4652 |
| Identificador DOI: | 10.1007/978-3-540-85760-0_75 |
| URL Oficial: | http://www.springerlink.com/content/g4g017066t5112... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 20 Oct 2010 09:57 |
| Ultima Modificación: | 20 Abr 2016 13:47 |
Acciones
- Estadísticas
- Exportar cita
- Editar (sólo personal del Archivo)
