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Abstract: Efficient Labeling of Optical Coherence Tomography Angiography Data using Eye Tracking

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Bildverarbeitung für die Medizin 2018

Part of the book series: Informatik aktuell ((INFORMAT))

Zusammenfassung

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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Literatur

  1. Gazepoint. GP3 eye tracker. Accessed: 2017-11-20. https://www.gazept.com/product/gazepoint-gp3-eye-tracker/.

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Author information

Authors and Affiliations

  1. Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Deutschland

    Lennart Husvogt & Andreas Maier

  2. Biomedical Optical Imaging and Biophotonics Group, Massachusetts Institute of Technology, Cambridge, USA

    Lennart Husvogt, Eric Moult & James G. Fujimoto

  3. New England Eye Center, Tufts Medical Center, Boston, USA

    Lennart Husvogt & Nadia Waheed

Authors
  1. Lennart Husvogt
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  2. Eric Moult
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  3. Nadia Waheed
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  4. James G. Fujimoto
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  5. Andreas Maier
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Corresponding author

Correspondence to Lennart Husvogt .

Editor information

Editors and Affiliations

  1. Pattern Recognition Lab, Friedrich-Alexander-Universität, Erlangen, Bayern, Germany

    Andreas Maier

  2. Peter-L. Reichertz Inst. f. Med. Inf., Technische Univ. Braunschweig, Braunschweig, Niedersachsen, Germany

    Thomas M. Deserno

  3. Universität zu Lübeck, Institut für Medizinische Informatik, Lübeck, Germany

    Heinz Handels

  4. Medical Image Computing, E230, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany

    Klaus Hermann Maier-Hein

  5. Regensburg Medical Image Computing, Ostbayer. TH Regensburg, Regensburg, Germany

    Christoph Palm

  6. Inst. f. Med. Informatik, Charité - Universitätsmedizin, Berlin, Berlin, Germany

    Thomas Tolxdorff

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Cite this paper

Husvogt, L., Moult, E., Waheed, N., Fujimoto, J.G., Maier, A. (2018). Abstract: Efficient Labeling of Optical Coherence Tomography Angiography Data using Eye Tracking. 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_17

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  • DOI: https://doi.org/10.1007/978-3-662-56537-7_17

  • 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)

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