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Abstract: First Approaches Towards Automatic Detection of Microaneurysms in OCTA Images

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

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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.

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Literatur

  1. 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.

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  2. Maier A, Hofmann H, Berger M, et al. CONRAD: a software framework for conebeam imaging in radiology. Med Phys. 2013;40(11).

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Correspondence to Lennart Husvogt .

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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

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  • DOI: https://doi.org/10.1007/978-3-662-56537-7_11

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  • 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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