CareLit · DOI-Nachweis · Nuklearmedizin - NuclearMedicine
Artificial Intelligence-powered automatic volume calculation in medical images – available tools, performance and challenges for nuclear medicine
DOI 10.1055/a-2200-2145
Bibliografische Angaben
Nachweis in CareLit
Autor:innenThomas Wendler, Michael C. Kreissl, Benedikt Schemmer, Julian Manuel Michael Rogasch, Francesca De Benetti
ZeitschriftNuklearmedizin - NuclearMedicine
Ausgabe06/2023
Jahrgang / SeitenJg. 62 · S. 343-353
Kernaussage aus der Literatur
Abstract-Vorschau
AbstractVolumetry is crucial in oncology and endocrinology, for diagnosis, treatment planning, and evaluating response to therapy for several diseases. The integration of Artificial Intelligence (AI) and Deep Learning (DL) has significantly accelerated the automatization of volumetric calculations, enhancing accuracy and reducing variability and labor. In this review, we show that a high correlation has been observe…
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Zitierempfehlung
Thomas Wendler, Michael C. Kreissl, Benedikt Schemmer, Julian Manuel Michael Rogasch, Francesca De Benetti (2023) Artificial Intelligence-powered automatic volume calculation in medical images – available tools, performance and challenges for nuclear medicine. Nuklearmedizin - NuclearMedicine, 62 (06), 343-353. https://doi.org/10.1055/a-2200-2145
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