Zusammenfassung
We investigated automatic detection of micro aneurysms in optical coherence tomo-graphy angiography. Data of two patients was gathered at the New England Eye Center. Patients with diabetic retinopathy were imaged on an Optovue Avanti device.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsLiteratur
Arganda-Carreras I, Kaynig V, Schindelin J, et al. Trainable weka segmentation: a machine learning tool for microscopy image segmentation. Neuroscience. 2014; p. 73–80.
Maier A, Hofmann H, Berger M, et al. CONRAD: a software framework for conebeam imaging in radiology. Med Phys. 2013;40(11).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer-Verlag GmbH Deutschland
About this paper
Cite this paper
Husvogt, L., Alibhai, A.Y., Moult, E., Fujimoto, J.G., Waheed, N., Maier, A. (2018). Abstract: First Approaches Towards Automatic Detection of Microaneurysms in OCTA Images. In: Maier, A., Deserno, T., Handels, H., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2018. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56537-7_11
Download citation
DOI: https://doi.org/10.1007/978-3-662-56537-7_11
Published:
Publisher Name: Springer Vieweg, Berlin, Heidelberg
Print ISBN: 978-3-662-56536-0
Online ISBN: 978-3-662-56537-7
eBook Packages: Computer Science and Engineering (German Language)