Applying nnU-Net to the segmentation of microaneurysms in OCTA data in patients with non-proliferative diabetic retinopathy

Husvogt L, Abu-Qamar O, Levine E, Schottenhamml J, Ploner S, Breininger K, Moult E, Waheed NK, Fujimoto JG, Maier A (2021)

Publication Language: English

Publication Type: Conference contribution, Abstract of a poster

Publication year: 2021

Series: Investigative Ophthalmology & Visual Science

Book Volume: 62

Pages Range: 2152

URI: https://iovs.arvojournals.org/article.aspx?articleid=2773716

Authors with CRIS profile

Lennart Husvogt Lehrstuhl für Informatik 5 (Mustererkennung) Julia Schottenhamml Department of Ophthalmology Stefan Ploner Lehrstuhl für Informatik 5 (Mustererkennung) Katharina Breininger Juniorprofessur für Artificial Intelligence in Medical Imaging Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Massachusetts Institute of Technology (MIT) US United States (USA) (US) Tufts University US United States (USA) (US) Tufts Medical Center US United States (USA) (US)

How to cite

APA:

Husvogt, L., Abu-Qamar, O., Levine, E., Schottenhamml, J., Ploner, S., Breininger, K.,... Maier, A. (2021, June). Applying nnU-Net to the segmentation of microaneurysms in OCTA data in patients with non-proliferative diabetic retinopathy. Poster presentation at ARVO Annual Meeting 2021, US.

MLA:

Husvogt, Lennart, et al. "Applying nnU-Net to the segmentation of microaneurysms in OCTA data in patients with non-proliferative diabetic retinopathy." Presented at ARVO Annual Meeting 2021 2021.

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