Benchmarking deep learning‐based low‐dose CT image denoising algorithms
This study highlights the need for a more rigorous and fair evaluation of novel deep learning-based methods for low-dose CT image denoising. Our benchmark setup is a first and important step towards this direction and can be used by future researchers to evaluate their algorithms.
Authors
- Marc Kachelrieß (ORCID: https://orcid.org/0000-0001-9351-4761)
- Elias Eulig (ORCID: https://orcid.org/0000-0001-6269-6320)
- Björn Ommer (ORCID: https://orcid.org/0000-0003-0766-120X)
Institutions
- German Cancer Research Center (DE)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- LMU Klinikum (DE)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-09-17
- DOI
- https://doi.org/10.1002/mp.17379
- Citations
- 23
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 9.30