Content-Based Retrieval in Endomicroscopy: Toward an Efficient Smart Atlas for Clinical Diagnosis

Abstract : In this paper we present the first Content-Based Image Retrieval (CBIR) framework in the field of in vivo endomicroscopy, with applications ranging from training support to diagnosis support. We propose to adjust the standard Bag-of-Visual-Words method for the retrieval of endomicroscopic videos. Retrieval performance is evaluated both indirectly from a classification point-of-view, and directly with respect to a perceived similarity ground truth. The proposed method significantly outperforms, on two different endomicroscopy databases, several state-of-the-art methods in CBIR. With the aim of building a self-training simulator, we use retrieval results to estimate the interpretation difficulty experienced by the endoscopists. Finally, by incorporating clinical knowledge about perceived similarity and endomicroscopy semantics, we are able: 1) to learn an adequate visual similarity distance and 2) to build visual-word-based semantic signatures that extract, from low-level visual features, a higher-level clinical knowledge expressed in the endoscopist own language.
Type de document :
Communication dans un congrès
Proceedings of the MICCAI Workshop - Medical Content-based Retrieval for Clinical Decision (MCBR-CDS'11), 2011, Toronto, Canada. Springer, pp.12-23, 2011, LNCS
Liste complète des métadonnées

Littérature citée [17 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00813791
Contributeur : Project-Team Asclepios <>
Soumis le : vendredi 3 mai 2013 - 14:01:38
Dernière modification le : jeudi 11 janvier 2018 - 16:42:52
Document(s) archivé(s) le : dimanche 4 août 2013 - 02:45:13

Fichier

ANDRE-MCBRCDS11.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00813791, version 1

Collections

Citation

Barbara André, Tom Vercauteren, Nicholas Ayache. Content-Based Retrieval in Endomicroscopy: Toward an Efficient Smart Atlas for Clinical Diagnosis. Proceedings of the MICCAI Workshop - Medical Content-based Retrieval for Clinical Decision (MCBR-CDS'11), 2011, Toronto, Canada. Springer, pp.12-23, 2011, LNCS. 〈hal-00813791〉

Partager

Métriques

Consultations de la notice

240

Téléchargements de fichiers

99