Using a Lymphoma and Lung Cancer Trained Neural Network to Predict the Outcome for Breast Cancer on FDG PET/CT Data

Ziel/Aim Automatic quantification of the metabolic tumor volume (MTV) from PET data by neural networks can simplify the clinical implementation of the parameter, whose manual estimation is a laborious process. It remains unclear how specific a neural network has to be designed for the investigated d... View More