CareLit Fachartikel

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

S Moazemi, A Erle, M Essler, T Schultz, RA Bundschuh · Nuklearmedizin - NuclearMedicine · 2020 · Heft 02

Dokument
1214884
CareLit-ID
Jahr
2020
Publikation
PDF
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Metadaten
DOI
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Bibliografische Angaben

Zeitschrift
Nuklearmedizin - NuclearMedicine
Autor:innen
S Moazemi, A Erle, M Essler, T Schultz, RA Bundschuh
Ausgabe
Heft 02 / 2020
Jahrgang 59
Seiten
–
Erschienen: 2020-04-01 00:00:00
ISSN
0029-5566
DOI
10.1055/s-0040-1708365

Zusammenfassung

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

Schlagworte

Based Analyzing Different Combinations Radiomics Features Clinical Treatment Response Prediction Whole-Body Psma-Pet-Ct Nuklearmedizin - NuclearMedicine