Transformer-powered precision: A DETR-based approach for robust detection in medical ultrasound with cholelithiasis as a case study
By effectively addressing the challenges of low-quality ultrasound imaging, the proposed DETR-based framework provides a reliable and generalizable approach for automated cholelithiasis detection. The findings highlight its potential for integration into real-world diagnostic workflows and its applicability to broader intelligent diagnostic systems at the intersection of computational science, medical informatics, and vision transformers.
Authors
- Andreas Holzinger (ORCID: https://orcid.org/0000-0002-6786-5194)
- Dheeraj Kumar Singh (ORCID: https://orcid.org/0000-0001-5071-3306)
- Heimo Müller (ORCID: https://orcid.org/0000-0002-9691-4872)
- Mayuri A. Mehta (ORCID: https://orcid.org/0000-0002-8037-1949)
Institutions
- University of Vienna (AT)
- Medical University of Graz (AT)
- Charotar University of Science and Technology (IN)
- Sardar Vallabhbhai National Institute of Technology Surat (IN)
Publication Details
- Journal
- Computational and Structural Biotechnology Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.csbj.2025.10.037
- Citations
- 1
- Primary Topic
- Non-Destructive Testing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.71
Funders
- Austrian Science Fund