Quality assessment of optical coherence tomography angiography images with Relative-distance-based Patch Distribution Modeling (R-PaDiM)
The proposed method is highly robust and efficient in obtaining quality scores that correspond to the specific regions within the image related to the classification decision. Due to its versatile nature, it can be applied to many other tasks with various imaging modalities for better explainability of the deep learning models.
Authors
- Meltem Esengönül
- Teresa Araújo (ORCID: https://orcid.org/0000-0001-9687-528X)
- Hrvoje Bogunović (ORCID: https://orcid.org/0000-0002-9168-0894)
- Natasa Jeremic
- Azin Zarghami
- Ursula Schmidt-Erfurth (ORCID: https://orcid.org/0000-0002-9168-0894)
Institutions
- Medical University of Vienna (AT)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-08-12
- DOI
- https://doi.org/10.1016/j.cmpb.2025.108955
- Primary Topic
- Optical Coherence Tomography Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00