An automated toolbox for microcalcification cluster modeling for mammographic imaging
This simulation toolbox offers a flexible means of simulating microcalcification cluster models with potential use in both technical and clinical research in mammography imaging. The 3D generation methods allow for specifying many characteristics regarding the calcification shape and cluster architecture, and the 2D generation method presents a novel manner to create microcalcification clusters tailored to existing breast textures.
Authors
- Henry C. Woodruff (ORCID: https://orcid.org/0000-0001-7911-5123)
- Nicholas Marshall (ORCID: https://orcid.org/0000-0001-5549-5133)
- Philippe Lambin
- Lesley Cockmartin
- Katrien Houbrechts (ORCID: https://orcid.org/0000-0002-2862-3504)
- Hilde Bosmans (ORCID: https://orcid.org/0000-0002-9694-510X)
- Renate Prevos
- Astrid Van Camp (ORCID: https://orcid.org/0000-0001-5007-9755)
- Eva Punter
Institutions
- Maastricht University Medical Centre (NL)
- Universitair Ziekenhuis Leuven (BE)
- Maastricht University (NL)
- KU Leuven (BE)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1002/mp.17521
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- European Commission
- Fonds Wetenschappelijk Onderzoek