CareLit · DOI-Nachweis · Nuklearmedizin - NuclearMedicine
Synthesis of Prospective Multiple Time Points F-18 FDG PET Images from a Single Scan Using a Supervised Generative Adversarial Network
DOI 10.1055/a-2026-0784
Bibliografische Angaben
Nachweis in CareLit
Autor:innenMerhnoosh Karimipourfard, Sedigheh Sina, Fereshteh Khodadai Shoshtari, Mehrsadat Alavi
ZeitschriftNuklearmedizin - NuclearMedicine
Ausgabe02/2023
Jahrgang / SeitenJg. 62 · S. 61-72
Kernaussage aus der Literatur
Abstract-Vorschau
AbstractThe cumulative activity map estimation are essential tools for patient specific dosimetry with high accuracy, which is estimated using biokinetic models instead of patient dynamic data or the number of static PET scans, owing to economical and time-consuming points of view. In the era of deep learning applications in medicine, the pix-to-pix (p2 p) GAN neural networks play a significant role in image transla…
Zitieren
Zitierempfehlung
Merhnoosh Karimipourfard, Sedigheh Sina, Fereshteh Khodadai Shoshtari, Mehrsadat Alavi (2023) Synthesis of Prospective Multiple Time Points F-18 FDG PET Images from a Single Scan Using a Supervised Generative Adversarial Network. Nuklearmedizin - NuclearMedicine, 62 (02), 61-72. https://doi.org/10.1055/a-2026-0784
Mit CareLit weiterarbeiten