Thieme E-Books & E-Journals -
Zurück
CC BY 4.0 · Nuklearmedizin 2023; 62(06): 361-369
DOI: 10.1055/a-2198-0545
Original Article

Methodological evaluation of original articles on radiomics and machine learning for outcome prediction based on positron emission tomography (PET)

Methodische Bewertung von Originalartikeln zu Radiomics und Machine Learning für Outcome-Vorhersagen basierend auf der Positronen-Emissions-Tomografie (PET)
1   Department of Nuclear Medicine, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
2   Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin
,
Kuangyu Shi
3   Department of Nuclear Medicine, Inselspital University Hospital Bern, Bern, Switzerland (Ringgold ID: RIN27252)
,
David Kersting
4   Department of Nuclear Medicine, University Hospital Essen, Essen, Germany (Ringgold ID: RIN39081)
,
Robert Seifert
4   Department of Nuclear Medicine, University Hospital Essen, Essen, Germany (Ringgold ID: RIN39081)
› Institutsangaben