Ensembling U-Nets for microaneurysm segmentation in optical coherence tomography angiography in patients with diabetic retinopathy

Husvogt L, Yaghy A, Camacho A, Lam K, Schottenhamml J, Ploner S, Fujimoto JG, Waheed NK, Maier A (2024)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2024

Journal

Book Volume: 14

Article Number: 21520

URI: https://rdcu.be/dT0FK

DOI: 10.1038/s41598-024-72375-2

Open Access Link: https://rdcu.be/dT0FK

Abstract

Diabetic retinopathy is one of the leading causes of blindness around the world. This makes early diagnosis and treatment important in preventing vision loss in a large number of patients. Microaneurysms are the key hallmark of the early stage of the disease, non-proliferative diabetic retinopathy, and can be detected using OCT angiography quickly and non-invasively. Screening tools for non-proliferative diabetic retinopathy using OCT angiography thus have the potential to lead to improved outcomes in patients. We compared different configurations of ensembled U-nets to automatically segment microaneurysms from OCT angiography fundus projections. For this purpose, we created a new database to train and evaluate the U-nets, created by two expert graders in two stages of grading. We present the first U-net neural networks using ensembling for the detection of microaneurysms from OCT angiography en face images from the superficial and deep capillary plexuses in patients with non-proliferative diabetic retinopathy trained on a database labeled by two experts with repeats.

Authors with CRIS profile

Involved external institutions

Massachusetts Institute of Technology (MIT) United States (USA) (US) Tufts University United States (USA) (US) New England Eye Center United States (USA) (US)

How to cite

APA:

Husvogt, L., Yaghy, A., Camacho, A., Lam, K., Schottenhamml, J., Ploner, S.,... Maier, A. (2024). Ensembling U-Nets for microaneurysm segmentation in optical coherence tomography angiography in patients with diabetic retinopathy. Scientific Reports, 14. https://doi.org/10.1038/s41598-024-72375-2

MLA:

Husvogt, Lennart, et al. "Ensembling U-Nets for microaneurysm segmentation in optical coherence tomography angiography in patients with diabetic retinopathy." Scientific Reports 14 (2024).

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