Fully Automated MR Detection and Segmentation of Brain Metastases in Non-small Cell Lung Cancer Using Deep Learning.

Stephanie T JüngerUlrike Cornelia Isabel HoyerDiana SchauflerKai Roman LaukampLukas GoertzFrank ThieleJan-Peter GrunzMarc SchlamannMichael PerkuhnChristoph KabbaschThorsten PersigehlStefan GrauJan BorggrefeMatthias SchefflerRahil ShahzadLenhard Pennig

Published in: Journal of magnetic resonance imaging : JMRI (2021)

Deep learning provided a high detection sensitivity and good segmentation performance for BMs in NSCLC on heterogeneous scanner data while yielding a low number of FP findings. Level of Evidence 3 Technical Efficacy Stage 2.

Keyphrases

deep learning
brain metastases
small cell lung cancer
convolutional neural network
artificial intelligence
loop mediated isothermal amplification
machine learning
real time pcr
label free
big data
electronic health record
magnetic resonance
image quality