Automatic classification of lymphoma lesions in FDG-PET-Differentiation between tumor and non-tumor uptake.
Thomas Walter GeorgiAxel ZieschankKevin KornrumpfLars KurchOsama SabriDieter KörholzChristine Mauz-KörholzRegine KlugeStefan PoschPublished in: PloS one (2022)
Our algorithm, trained on a small number of patients and on PET information only, showed a good performance and is suitable for automatic lymphoma classification.
Keyphrases
- deep learning
- machine learning
- pet ct
- positron emission tomography
- end stage renal disease
- pet imaging
- computed tomography
- diffuse large b cell lymphoma
- newly diagnosed
- chronic kidney disease
- ejection fraction
- peritoneal dialysis
- healthcare
- neural network
- resistance training
- body composition
- social media
- high intensity