VisMed: A Visual Vocabulary Approach for Medical Image Indexing and Retrieval
Résumé
Voluminous medical images are generated daily. They are critical assets for medical diagnosis, research, and teaching. To facilitate automatic indexing and retrieval of large medical image databases, we propose a structured framework for designing and learning vocabularies of meaningful medical terms associated with visual appearance from image samples. These VisMed terms span a new feature space to represent medical image contents. After a multi-scale detection process, a medical image is indexed as compact spatial distributions of VisMed terms. A flexible tiling (FlexiTile) matching scheme is proposed to compare the similarity between two medical images of arbitrary aspect ratios.
Domaines
Recherche d'information [cs.IR]Origine | Fichiers produits par l'(les) auteur(s) |
---|
Loading...