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Joint EANM/SNMMI guideline on radiomics in nuclear medicine
138
Zitationen
13
Autoren
2022
Jahr
Abstract
Radiomics is a very quickly evolving field of research. The present guideline focused on established findings as well as recommendations based on the state of the art. Though this guideline recognizes both hand-crafted and deep learning-based radiomics approaches, it primarily focuses on the former as this field is more mature. This guideline will be updated once more studies and results have contributed to improved consensus regarding the application of deep learning methods for radiomics. Although methodological recommendations in the present document are valid for most medical image modalities, we focus here on nuclear medicine, and specific recommendations when necessary are made for PET/CT, PET/MR, and quantitative SPECT.
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Autoren
Institutionen
- Université de Bretagne Occidentale(FR)
- Laboratoire de Traitement de l'Information Médicale(FR)
- Inserm(FR)
- University of British Columbia(CA)
- University of Wisconsin–Madison(US)
- Deutschen Konsortium für Translationale Krebsforschung(DE)
- University of Duisburg-Essen(DE)
- West German Heart and Vascular Center Essen(DE)
- National Center for Tumor Diseases(DE)
- German Cancer Research Center(DE)
- Helmholtz-Zentrum Dresden-Rossendorf(DE)
- OncoRay(DE)
- Heidelberg University(DE)
- University Hospital Carl Gustav Carus(DE)
- Technische Universität Dresden(DE)
- Moffitt Cancer Center(US)
- University of Washington Medical Center(US)
- Washington University in St. Louis(US)
- Mallinckrodt (United States)(US)