Dependence of observer task on conclusions drawn from in silico trials evaluating the performance of full-field digital mammography and digital breast tomosynthesis
Integrating classification tasks into ISTs and potentially physical phantom studies can provide additional information in the evaluation of clinical breast imaging systems. This methodology can enhance the reliability of performance assessments for new breast imaging technologies. Depending on the study's objective, ISTs and physical phantom studies should aim to employ tasks that closely model actual clinical scenarios.
Authors
- Andrey Makeev (ORCID: https://orcid.org/0000-0003-1014-0472)
- Stephen J. Glick
- Dan Li (ORCID: https://orcid.org/0000-0002-5586-4055)
Institutions
- United States Food and Drug Administration (US)
- Center for Devices and Radiological Health (US)
- Office of Science (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-05-19
- DOI
- https://doi.org/10.1117/1.jmi.12.s1.s13014
- Primary Topic
- Digital Radiography and Breast Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00