KIT | KIT-Bibliothek | Impressum | Datenschutz

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

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

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.

Volltext §
DOI: 10.5445/KSP/1000059899
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik (IAI)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2016
Sprache Englisch
Identifikator ISBN: 978-3-7315-0587-7
KITopen-ID: 1000063034
HGF-Programm 47.01.02 (POF III, LK 01) Biol.Netzwerke u.Synth.Regulat. IAI
Erschienen in Forum Bildverarbeitung 2016. Hrsg.: M. Heizmann
Verlag KIT Scientific Publishing
Seiten 245-256
Relationen in KITopen
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page