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Lecture Notes in Computer Science
This work reports baseline results for the CLEF 2008 Medical Automatic Annotation Task (MAAT) by applying a classifier with a fixed parameter set to all tasks 2005 -2008. The classifier performs a weighted combination of three distance and similarity measures operating on global image features: Scaled-down representations of the images are compared via metrics that model the typical variability in the image data, mainly translation, local deformation, and radiation dose. In addition, a distancedoi:10.1007/978-3-540-74999-8_84 fatcat:yr6jutpelneenky7oofzlqgcf4