CareLit · DOI-Nachweis · Nuklearmedizin - NuclearMedicine
Analyzing different combinations of radiomics features and clinical data for treatment response prediction based on whole-body PSMA-PET-CT scans: A machine learning based approach
DOI 10.1055/s-0040-1708365
Bibliografische Angaben
Nachweis in CareLit
Autor:innenS Moazemi, A Erle, M Essler, T Schultz, RA Bundschuh
ZeitschriftNuklearmedizin - NuclearMedicine
Ausgabe02/2020
Jahrgang / SeitenJg. 59
Kernaussage aus der Literatur
Abstract-Vorschau
Analyzing different combinations of radiomics features and clinical data for treatment response prediction based on whole-body PSMA-PET-CT scans: A machine learning based approach
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Zitierempfehlung
S Moazemi, A Erle, M Essler, T Schultz, RA Bundschuh (2020) Analyzing different combinations of radiomics features and clinical data for treatment response prediction based on whole-body PSMA-PET-CT scans: A machine learning based approach. Nuklearmedizin - NuclearMedicine, 59 (02). https://doi.org/10.1055/s-0040-1708365
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