Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning

Timo Kepp; Helge Sudkamp; Claus von der Burchard; Hendrik Schenke; Peter Koch; Gereon Hüttmann; Johann Roider; Mattias P. Heinrich; Heinz Handels

doi:10.1007/978-3-658-29267-6_37

Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning

Timo Kepp^*, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels

^*Corresponding author for this work

University of Kiel

Abstract

The treatment of age-related macular degeneration (AMD) requires continuous eye examinations using optical coherence tomography (OCT). The need for treatment is indicated by the presence or change of disease-specific OCT-based biomarkers. Therapeutic response and recurrence patterns of patients, however, vary widely between individuals and represent a major challenge for physicians.

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2020
Editors	Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm
Number of pages	1
Publisher	Springer Vieweg, Wiesbaden
Publication date	12.02.2020
Pages	183-183
ISBN (Print)	978-3-658-29266-9
ISBN (Electronic)	978-3-658-29267-6
DOIs	https://doi.org/10.1007/978-3-658-29267-6_37
Publication status	Published - 12.02.2020
Event	Bildverarbeitung für die Medizin 2020 - International workshop on Algorithmen - Systeme - Anwendungen - Berlin, Germany Duration: 15.03.2020 → 17.03.2020 Conference number: 237969

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

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10.1007/978-3-658-29267-6_37

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Kepp, T., Sudkamp, H., von der Burchard, C., Schenke, H., Koch, P., Hüttmann, G., Roider, J., Heinrich, M. P., & Handels, H. (2020). Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning. In T. Tolxdorff, T. M. Deserno, H. Handels, A. Maier, K. H. Maier-Hein, & C. Palm (Eds.), Bildverarbeitung für die Medizin 2020 (pp. 183-183). (Informatik aktuell). Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-29267-6_37

Kepp, Timo ; Sudkamp, Helge ; von der Burchard, Claus et al. / Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning. Bildverarbeitung für die Medizin 2020. editor / Thomas Tolxdorff ; Thomas M. Deserno ; Heinz Handels ; Andreas Maier ; Klaus H. Maier-Hein ; Christoph Palm. Springer Vieweg, Wiesbaden, 2020. pp. 183-183 (Informatik aktuell).

@inproceedings{81af9d26418848df9592812b283379f8,

title = "Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning",

abstract = "The treatment of age-related macular degeneration (AMD) requires continuous eye examinations using optical coherence tomography (OCT). The need for treatment is indicated by the presence or change of disease-specific OCT-based biomarkers. Therapeutic response and recurrence patterns of patients, however, vary widely between individuals and represent a major challenge for physicians.",

author = "Timo Kepp and Helge Sudkamp and \{von der Burchard\}, Claus and Hendrik Schenke and Peter Koch and Gereon H{\"u}ttmann and Johann Roider and Heinrich, \{Mattias P.\} and Heinz Handels",

note = "Publisher Copyright: {\textcopyright} Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2020. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; Bildverarbeitung f{\"u}r die Medizin 2020 - International workshop on Algorithmen - Systeme - Anwendungen<br/> ; Conference date: 15-03-2020 Through 17-03-2020",

year = "2020",

month = feb,

day = "12",

doi = "10.1007/978-3-658-29267-6\_37",

language = "English",

isbn = "978-3-658-29266-9",

series = "Informatik aktuell",

publisher = "Springer Vieweg, Wiesbaden",

pages = "183--183",

editor = "Tolxdorff, \{Thomas \} and \{M. Deserno\}, \{Thomas \} and Handels, \{Heinz \} and Maier, \{Andreas \} and \{H. Maier-Hein\}, \{Klaus \} and Palm, \{Christoph \}",

booktitle = "Bildverarbeitung f{\"u}r die Medizin 2020",

}

Kepp, T, Sudkamp, H, von der Burchard, C, Schenke, H, Koch, P, Hüttmann, G, Roider, J, Heinrich, MP & Handels, H 2020, Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning. in T Tolxdorff, T M. Deserno, H Handels, A Maier, K H. Maier-Hein & C Palm (eds), Bildverarbeitung für die Medizin 2020. Informatik aktuell, Springer Vieweg, Wiesbaden, pp. 183-183, Bildverarbeitung für die Medizin 2020 - International workshop on Algorithmen - Systeme - Anwendungen
, Berlin, Berlin, Germany, 15.03.20. https://doi.org/10.1007/978-3-658-29267-6_37

Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning. / Kepp, Timo; Sudkamp, Helge; von der Burchard, Claus et al.
Bildverarbeitung für die Medizin 2020. ed. / Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Andreas Maier; Klaus H. Maier-Hein; Christoph Palm. Springer Vieweg, Wiesbaden, 2020. p. 183-183 (Informatik aktuell).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning

AU - Kepp, Timo

AU - Sudkamp, Helge

AU - von der Burchard, Claus

AU - Schenke, Hendrik

AU - Koch, Peter

AU - Hüttmann, Gereon

AU - Roider, Johann

AU - Heinrich, Mattias P.

AU - Handels, Heinz

N1 - Conference code: 237969

PY - 2020/2/12

Y1 - 2020/2/12

N2 - The treatment of age-related macular degeneration (AMD) requires continuous eye examinations using optical coherence tomography (OCT). The need for treatment is indicated by the presence or change of disease-specific OCT-based biomarkers. Therapeutic response and recurrence patterns of patients, however, vary widely between individuals and represent a major challenge for physicians.

AB - The treatment of age-related macular degeneration (AMD) requires continuous eye examinations using optical coherence tomography (OCT). The need for treatment is indicated by the presence or change of disease-specific OCT-based biomarkers. Therapeutic response and recurrence patterns of patients, however, vary widely between individuals and represent a major challenge for physicians.

UR - https://www.scopus.com/pages/publications/85083082918

U2 - 10.1007/978-3-658-29267-6_37

DO - 10.1007/978-3-658-29267-6_37

M3 - Conference contribution

SN - 978-3-658-29266-9

T3 - Informatik aktuell

SP - 183

EP - 183

BT - Bildverarbeitung für die Medizin 2020

A2 - Tolxdorff, Thomas

A2 - M. Deserno, Thomas

A2 - Handels, Heinz

A2 - Maier, Andreas

A2 - H. Maier-Hein, Klaus

A2 - Palm, Christoph

PB - Springer Vieweg, Wiesbaden

T2 - Bildverarbeitung für die Medizin 2020 - International workshop on Algorithmen - Systeme - Anwendungen<br/>

Y2 - 15 March 2020 through 17 March 2020

ER -

Kepp T, Sudkamp H, von der Burchard C, Schenke H, Koch P, Hüttmann G et al. Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning. In Tolxdorff T, M. Deserno T, Handels H, Maier A, H. Maier-Hein K, Palm C, editors, Bildverarbeitung für die Medizin 2020. Springer Vieweg, Wiesbaden. 2020. p. 183-183. (Informatik aktuell). doi: 10.1007/978-3-658-29267-6_37

Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning

Abstract

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