Segmentation of skin layers on HFUS images using the attention mechanism
Contextual feature pyramid modules and attention gates allow more accurate detection and segmentation of skin layers. The results obtained are compared with other models described in the literature as efficient for HFUS image analysis, and low false positive and false negative rates speak in favor of our approach.
Authors
- Katarzyna Korecka (ORCID: https://orcid.org/0000-0002-9473-1239)
- Adriana Polańska (ORCID: https://orcid.org/0000-0001-9531-7358)
- Joanna Czajkowska (ORCID: https://orcid.org/0000-0002-6750-409X)
- Anna Slian (ORCID: https://orcid.org/0009-0002-5594-4036)
Institutions
- Silesian University of Technology (PL)
- Poznan University of Medical Sciences (PL)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1016/j.cmpb.2025.108668
- Citations
- 2
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- Narodowe Centrum Nauki