Impact of a Gaussian filter applied to post-reconstruction PET images on radiomic features to predict complete pathological response in breast cancer
2020
Détails
Titre
Impact of a Gaussian filter applied to post-reconstruction PET images on radiomic features to predict complete pathological response in breast cancer
Auteur(s)/ trice(s)
Boughdad, Sarah (CHUV Lausanne Switzerland)
Oreiller, Valentin (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))
Meyer, Marie (Auhtor)
Schaefer, Niklaus (CHUV Lausanne Switzerland)
Nicod-Lalonde, Marie (CHUV Lausanne Switzerland)
Jreige, Mario (Lausanne University Hospital Lausanne Switzerland)
Depeursinge, Adrien (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))
Prior, John O. (Lausanne University Hospital Lausanne Switzerland)
Oreiller, Valentin (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))
Meyer, Marie (Auhtor)
Schaefer, Niklaus (CHUV Lausanne Switzerland)
Nicod-Lalonde, Marie (CHUV Lausanne Switzerland)
Jreige, Mario (Lausanne University Hospital Lausanne Switzerland)
Depeursinge, Adrien (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))
Prior, John O. (Lausanne University Hospital Lausanne Switzerland)
Date
2020-05
Publié dans
Journal of nuclear medicine
Volume
2020, vol. 61, no. supplement 1, article 606
Pagination
1 p.
ISSN
0161-5505
Type d'article
scientifique
Domaine
Economie et Services
Ecole
HEG-VS
Institut
Institut Informatique de gestion
Le document apparaît dans
Articles scientifiques
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