Impact of image preprocessing on dermatological OCTA vessel segmentation: a DERMA-OCTA study
Combining 2D and 3D models and using topology-aware indices provide a full, clinically relevant evaluation of algorithm performance.
Authors
- Harald Kittler (ORCID: https://orcid.org/0000-0002-0051-8016)
- Kristen M. Meiburger (ORCID: https://orcid.org/0000-0002-7302-6135)
- Julia Deinsberger (ORCID: https://orcid.org/0000-0002-4237-1526)
- Leopold F. Schmetterer (ORCID: https://orcid.org/0000-0002-7189-1707)
- Benedikt Weber (ORCID: https://orcid.org/0000-0002-7217-4590)
- Wolfgang Drexler (ORCID: https://orcid.org/0000-0002-3557-6398)
- Massimo Salvi (ORCID: https://orcid.org/0000-0001-7225-7401)
- Christoph Sinz (ORCID: https://orcid.org/0000-0001-5589-1865)
- Giulia Rotunno (ORCID: https://orcid.org/0000-0003-4239-5816)
- Lisa Krainz (ORCID: https://orcid.org/0000-0003-4436-8205)
- Lukasz Bugyi
- Mengyang Liu (ORCID: https://orcid.org/0000-0002-8862-5966)
Institutions
- The University of Sydney (AU)
- Politecnico di Torino (IT)
- Melanoma Institute Australia (AU)
- Medical University of Vienna (AT)
Publication Details
- Journal
- Journal of Biomedical Optics
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1117/1.jbo.30.11.116005
- Primary Topic
- Optical Coherence Tomography Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00