Automated Deep Learning Segmentation of Cardiac Inflammatory FDG PET.

Alexis Poitrasson-RivièreMichael D VanderverTomoe HagioLiliana Arida-MoodyJonathan B Moody Jennifer M RenaudEdward P FicaroVenkatesh L Murthy

Published in: medRxiv : the preprint server for health sciences (2024)

The DL-based automated segmentation tool presents a marked improvement in the processing of cardiac sarcoidosis FDG PET, promising enhanced clinical workflow. This tool holds significant potential for accelerating clinical practice and improving consistency and quality. Further research with varied datasets is warranted to broaden its applicability.

Keyphrases

deep learning
pet ct
positron emission tomography
pet imaging
convolutional neural network
artificial intelligence
clinical practice
computed tomography
left ventricular
machine learning
oxidative stress
heart failure
high throughput
electronic health record
rna seq
quality improvement
human health