Pre-Processing Method for Contouring the Uptake Levels of [18F] FDG for Enhanced Specificity of PET Imaging of Solitary Hypermetabolic Pulmonary Nodules.

Piotr Szumowski Artur Szklarzewski Łukasz ŻukowskiSaeid AbdelrazekMałgorzata MojsakKatarzyna PorębskaEwa SierkoJanusz Myśliwiec

Published in: Journal of clinical medicine (2021)

Application of the PCUL-FDG method enhances the specificity of PET in imaging solitary hypermetabolic pulmonary nodules. Images obtained using the PCUL-FDG method can serve as point of departure for automatic analysis of PET data based on convolutional neural networks.

Keyphrases

pet imaging
convolutional neural network
positron emission tomography
deep learning
pet ct
pulmonary hypertension
computed tomography
high resolution
machine learning
weight loss
mass spectrometry