Deep neural network for automatic characterization of lesions on 68Ga-PSMA-11 PET/CT.

Yu ZhaoAndrei GafitaBernd VollnbergGiles TettehFabian HauptAli Afshar-OromiehBjoern MenzeMatthias EiberAxel RomingerKuangyu Shi

Published in: European journal of nuclear medicine and molecular imaging (2019)

We developed a deep neural network to characterize automatically the PC lesions on 68Ga-PSMA-11 PET/CT. The preliminary test within the pelvic area confirms the potential of deep learning methods. Increasing the amount of training data should further enhance the performance of the proposed method and may ultimately allow whole-body assessments.

Keyphrases

pet ct
neural network
deep learning
positron emission tomography
artificial intelligence
rectal cancer
big data
machine learning
convolutional neural network
human health