Image optimization for low-dose 18F-FDG breast PET/MRI using deep learning: a pilot study

EJNMMI Physics · Published 2026-07-15 · DOI 10.1186/s40658-026-00918-9

Free full text

Authors (13)

Quinton J. Keigley, Leah C. Henze Bancroft, Kelley Salem, Kuan-Hao Su, Abolfazl Mehranian, Matthew G. Spangler-Bickell, Alan B. McMillan, Scott B. Perlman, Roberta M. Strigel, Tyler J. Bradshaw, Samuel A. Hurley, Lu Mao, Amy M. Fowler

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year
2026

Citation

Keigley, Q., Bancroft, L., Salem, K., et al. (2026). Image optimization for low-dose 18F-FDG breast PET/MRI using deep learning: a pilot study. EJNMMI Physics. https://doi.org/10.1186/s40658-026-00918-9

Related articles