Artificial CT images can enhance variation of case images in diagnostic radiology skills training.

Elfi Inez Saïda HofmeijerSheng-Chih WuRozemarijn VliegenthartCornelis Herman SlumpFerdi van der HeijdenCan Ozan Tan

Published in: Insights into imaging (2023)

• Artificial images, similar to original ones, can be created using generative networks. • Pathological features of artificial images can be adjusted through guiding the network. • Artificial images proved viable to augment the depth and broadening of diagnostic training.

Keyphrases

deep learning
convolutional neural network
optical coherence tomography
artificial intelligence
computed tomography
machine learning
magnetic resonance imaging
pet ct