CareLit Fachartikel

Artificial Intelligence-powered automatic volume calculation in medical images – available tools, performance and challenges for nuclear medicine

Thomas Wendler, Michael C. Kreissl, Benedikt Schemmer, Julian Manuel Michael Rogasch, Francesca De Benetti · Nuklearmedizin - NuclearMedicine · 2023 · Heft 06 · S. 343-353

Dokument
886802
CareLit-ID
Jahr
2023
Publikation
PDF
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Metadaten
DOI
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Bibliografische Angaben

Zeitschrift
Nuklearmedizin - NuclearMedicine
Autor:innen
Thomas Wendler, Michael C. Kreissl, Benedikt Schemmer, Julian Manuel Michael Rogasch, Francesca De Benetti
Ausgabe
Heft 06 / 2023
Jahrgang 62
Seiten
343-353
Erschienen: 2023-12-01 00:00:00
ISSN
0029-5566

Zusammenfassung

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 observed between Machine Learning (ML) methods and expert assessments in tumor volumetry; Yet, it is recognized as more challenging than organ volumetry. Liver volumetry has shown progression in accuracy wit…

Schlagworte

artificial intelligence machine learning deep learning volumetry volume estimation volume calculation Nuklearmedizin - NuclearMedicine