Improvement in matching lesions in dual-view mammograms using a geometric model
The geometric model holds substantial promise as a valuable tool to assist radiologists in more effectively localizing lesions in ipsilateral mammograms, thereby potentially enhancing diagnostic accuracy and efficiency.
Authors
- Sina Wang (ORCID: https://orcid.org/0000-0002-2159-7921)
- Genggeng Qin (ORCID: https://orcid.org/0000-0002-7563-3924)
- Ming Ma (ORCID: https://orcid.org/0000-0002-2060-2266)
- Zeyuan Xu (ORCID: https://orcid.org/0000-0002-9899-778X)
- Derun Pan (ORCID: https://orcid.org/0000-0001-7147-3970)
- Bowen Zheng (ORCID: https://orcid.org/0000-0001-8653-8060)
- Weiguo Chen (ORCID: https://orcid.org/0000-0003-1552-0511)
- Hui Zeng (ORCID: https://orcid.org/0000-0002-3715-8317)
Institutions
- Southern Medical University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-08-11
- DOI
- https://doi.org/10.1186/s12880-025-01862-3
- Primary Topic
- Global Cancer Incidence and Screening
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Southern Medical University
- Nanfang Hospital
- Wu Jieping Medical Foundation
- Science and Technology Planning Project of Guangdong Province