Assessing mammographic density change within individuals across screening rounds using deep learning–based software
The demonstrated density changes over time support the potential of using breast density change in risk assessment tools and provide insights for future risk-based screening.
Authors
- Jakob Olinder (ORCID: https://orcid.org/0000-0002-5798-881X)
- Kristin Johnson (ORCID: https://orcid.org/0000-0002-5099-423X)
- Daniel Förnvik (ORCID: https://orcid.org/0000-0001-5083-7624)
- Victor M. Lu (ORCID: https://orcid.org/0000-0002-9470-5890)
- Sophia Zackrisson (ORCID: https://orcid.org/0000-0001-5678-3882)
- Anna Åkesson (ORCID: https://orcid.org/0000-0003-0204-7446)
- Victor Dahlblom (ORCID: https://orcid.org/0000-0002-4330-5387)
Institutions
- Malmö University (SE)
- Lund University (SE)
- Skåne University Hospital (SE)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-08-13
- DOI
- https://doi.org/10.1117/1.jmi.12.s2.s22017
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.48