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Efficient Labeling of Optical Coherence Tomography Angiography Data using Eye Tracking

Husvogt L, Moult EM, Waheed NK, Fujimoto JG, Maier A (2018)

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Publication Type: Conference contribution

Publication year: 2018

Publisher: Springer Vieweg

Edited Volumes: Informatik aktuell

Series: Informatik aktuell

City/Town: Berlin, Heidelberg

Pages Range: 20-21

Conference Proceedings Title: Bildverarbeitung für die Medizin 2018

Event location: Erlangen

ISBN: 978-3-662-56537-7

URI: https://link.springer.com/chapter/10.1007/978-3-662-56537-7_17

DOI: 10.1007/978-3-662-56537-7_17

Abstract

We implemented an approach for the efficient labeling of structural and angiographic optical coherence tomography (OCT) data using eye tracking. OCT is a non-invasive imaging technology, which provides volumetric data from scattering tissues in micrometer resolution. Due to its widespread use and noninvasiveness, clinicians acquire large amounts of volumetric ophthalmic data on a daily basis.

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How to cite

APA:

Husvogt, L., Moult, E.M., Waheed, N.K., Fujimoto, J.G., & Maier, A. (2018). Efficient Labeling of Optical Coherence Tomography Angiography Data using Eye Tracking. In Maier, Andreas Deserno, Thomas Martin Handels, Heinz Maier-Hein, Klaus Palm, Christoph Tolxdorff, Thomas (Eds.), Bildverarbeitung für die Medizin 2018 (pp. 20-21). Erlangen: Berlin, Heidelberg: Springer Vieweg.

MLA:

Husvogt, Lennart, et al. "Efficient Labeling of Optical Coherence Tomography Angiography Data using Eye Tracking." Proceedings of the Bildverarbeitung für die Medizin 2018, Erlangen Ed. Maier, Andreas Deserno, Thomas Martin Handels, Heinz Maier-Hein, Klaus Palm, Christoph Tolxdorff, Thomas, Berlin, Heidelberg: Springer Vieweg, 2018. 20-21.

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