Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning
DL-derived density measures derived from 3D reconstructed DBT images are associated with breast cancer diagnosis.
Authors
- Vinayak S. Ahluwalia (ORCID: https://orcid.org/0000-0002-2227-6644)
- Nehal Doiphode
- Walter C. Mankowski (ORCID: https://orcid.org/0000-0001-8591-6592)
- Lauren Pantalone
- Aimilia Gastounioti (ORCID: https://orcid.org/0000-0002-3359-7195)
- Spyridon Bakas (ORCID: https://orcid.org/0000-0001-8734-6482)
- Ari D. Brooks (ORCID: https://orcid.org/0000-0003-4328-7307)
- Despina Kontos (ORCID: https://orcid.org/0000-0001-9031-5126)
- Celine M. Vachon
- Emily F. Conant (ORCID: https://orcid.org/0000-0001-9331-644X)
- Sarthak Pati (ORCID: https://orcid.org/0000-0003-2243-8487)
- Eric A. Cohen (ORCID: https://orcid.org/0000-0002-5067-8835)
Institutions
- Columbia University Irving Medical Center (US)
- Hospital of the University of Pennsylvania (US)
- Mallinckrodt (United States) (US)
- Mayo Clinic in Florida (US)
- Indiana University School of Medicine
- Indiana University – Purdue University Indianapolis (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1200/cci.24.00103
- Citations
- 3
- Primary Topic
- Digital Radiography and Breast Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.26