Endomicroscopic image retrieval and classification using invariant visual features

Abstract

This paper investigates the use of modern content based image retrieval methods to classify endomicroscopic images into two categories: neoplastic (pathological) and benign. We describe first the method that maps an image into a visual feature signature which is a numerical vector invariant with respect to some particular classes of geometric and intensity… (More)
DOI: 10.1109/ISBI.2009.5193055

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Cite this paper

@article{Andr2009EndomicroscopicIR, title={Endomicroscopic image retrieval and classification using invariant visual features}, author={Barbara Andr{\'e} and Tom Vercauteren and Aymeric Perchant and Anna M. Buchner and Michael B. Wallace and Nicholas Ayache}, journal={2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro}, year={2009}, pages={346-349} }