A convolutional neural network for total tumor segmentation in [ 64 Cu]Cu-DOTATATE PET/CT of patients with neuroendocrine neoplasms.

Esben Andreas Carlsen Kristian LindholmAmalie HindsholmMathias GædeClaes Nøhr LadefogedMathias LoftCamilla Bardram JohnbeckSeppo Wang LangerPeter OturaiUlrich KniggeAndreas KjaerFlemming Littrup Andersen

Published in: EJNMMI research (2022)

We implemented and validated an AI model that achieved a high similarity with ground truth segmentation and resulted in faster tumor segmentation. With AI, total tumor segmentation may become feasible in the clinical routine.

Keyphrases

convolutional neural network
pet ct
deep learning
artificial intelligence
positron emission tomography
clinical practice
metal organic framework