Multifeature Ultrasound-Based Classification for Breast Lesions: A Comparative Study of PONS Image Enhancement Technology
PONS-enhanced multifeature ultrasound significantly improves breast cancer detection accuracy versus B-mode alone, offering complementary clinical solutions: GCNs for high sensitivity screening (91.7%) and MAEs for high-specificity diagnosis (100%). Results demonstrate clinical potential across diverse populations, with future work exploring enhanced fusion strategies.
Authors
- Ilker Hacihaliloglu (ORCID: https://orcid.org/0000-0003-3232-8193)
- Gokce Bekar
- Haley P. Letter
- Sabahattin M. Daloglu
- Ceren Coskun
- Senanur Sahin
- Harvey Castro
- Soner Hacihaliloglu
Institutions
- University of British Columbia (CA)
- Jacksonville College (US)
- WinnMed (US)
- Mayo Clinic in Florida (US)
- Newark Academy (US)
Publication Details
- Journal
- Mayo Clinic Proceedings Innovations Quality & Outcomes
- Published
- 2026-01-14
- DOI
- https://doi.org/10.1016/j.mayocpiqo.2025.100691
- Primary Topic
- Photoacoustic and Ultrasonic Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00