Classification of Medical Images Using Local Representations [chapter]

Roberto Paredes, Daniel Keysers, Thomas M. Lehmann, Berthold Wein, Hermann Ney, Enrique Vidal
2002 Bildverarbeitung für die Medizin 2002  
In medical image retrieval, the images are usually subject to a large range of variability. In order to classify medical images, we therefore propose the use of local representations, which are small square windows taken from the images. This approach is combined with a fast approximate -nearest neighbor technique and yields state-of-the-art results on a medical image database of 1617 images.
doi:10.1007/978-3-642-55983-9_39 fatcat:opte3dpnszbihcvmns3bnbchbm