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Automatic corneal tissue classification using bag-of-visual-words approaches

Bartschat, Andreas; Toso, Lorenzo; Stegmaier, Johannes; Kuijper, Arjan; Mikut, Ralf; Köhler, Bernd; Allgeier, Stephan

Abstract (englisch):
Abstract Corneal confocal microscopy is a promising diagnostic
method for peripheral neuropathy. It allows the recording of
the sub-basal nerve plexus (SNP) and enables the morphological
analysis of peripheral nerves. This work evaluates classification
models for real-time evaluation of cornea images in order to find
suitable methods for an automatic focus adaptation to the SNP.
The analyzed Bag-of-Visual-Words method leads to models with
an accuracy of 0.9, even on a small training dataset, and a runtime
of 18 ms per image. Furthermore, the analysis of the support
vector machine real-valued output shows high potential for
the implementation of real-time focus optimization methods.

Zugehörige Institution(en) am KIT Institut für Angewandte Informatik (IAI)
Publikationstyp Proceedingsbeitrag
Jahr 2016
Sprache Englisch
Identifikator ISBN: 978-3-7315-0587-7
URN: urn:nbn:de:swb:90-630340
KITopen ID: 1000063034
HGF-Programm 47.01.02; LK 01
Erschienen in Forum Bildverarbeitung 2016. Hrsg.: M. Heizmann
Verlag KIT Scientific Publishing, Karlsruhe
Seiten 245-256
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