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

Aim Despite a vast number of articles on radiomics and machine learning in positron emission tomography (PET) imaging, clinical applicability remains limited, partly owing to poor methodological quality. We therefore systematically investigated the methodology described in publications on radiomics...

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Detalles Bibliográficos
Autores principales: Rogasch, Julian Manuel Michael, Shi, Kuangyu, Kersting, David, Seifert, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667066/
https://www.ncbi.nlm.nih.gov/pubmed/37995708
http://dx.doi.org/10.1055/a-2198-0545