Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
MIRACLE at ImageCLEFanot 2007: Machine Learning Experiments on Medical Image Annotation
Año:2007
Áreas de investigación
  • Telemática
Datos
Descripción
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 in order to predict the IRMA code. Three types of classifiers are built. The first type is a single classifier that predicts the complete IRMA code. The second type is a two level classifier composed of four classifiers that individually predict each axis of the IRMA code. The third type is similar to the second one but predicts a combined pair of axes. 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. We submitted 30 experiments to be evaluated and results are disappointing compared to other groups. However, the main conclusion that can be drawn from the experiments is that, irrespective of the selected image features, the axis-by-axis prediction achieves more accurate results not only than the prediction of a combined pair of axes but also, in turn, than the prediction of the complete IRMA code. In addition, data normalization seems to improve the predictions and vector-based features are preferred over histogram-based ones.
Internacional
Si
Nombre congreso
Working notes for the CLEF 2007 Workshop
Tipo de participación
960
Lugar del congreso
BUDAPEST (Hungría)
Revisores
No
ISBN o ISSN
DOI
Fecha inicio congreso
19/09/2007
Fecha fin congreso
21/09/2007
Desde la página
Hasta la página
Título de las actas
Esta actividad pertenece a memorias de investigación
Participantes
  • Participante: J. Villena-Román
  • Participante: J.C. González-Cristóbal
  • Autor: Sara Lana Serrano (UPM)
  • Participante: J.M. Goñi-Menoyo
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Ingeniería y Arquitecturas Telemáticas
S2i 2022 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)