Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics.

Moritz GrossSteffen HuberSandeep AroraTal Ze'eviStefan P HaiderAhmet S KucukkayaSimon IsekeTom Niklas KuhnBernhard GebauerFlorian MichallekMarc DeweyValérie VilgrainRiccardo SartorisMaxime RonotAriel JaffeMario StrazzaboscoJulius ChapiroJohn A Onofrey

Published in: European radiology (2024)

• This deep convolutional neural network yields robust and generalizable liver segmentation performance on internal, external, and public testing data. • Automated liver volumetry demonstrated excellent agreement with manual volumetry. • Automated liver segmentations can be used for robust and reproducible radiomic feature extraction.

Keyphrases

deep learning
convolutional neural network
machine learning
artificial intelligence
high throughput
healthcare
magnetic resonance imaging
computed tomography
big data
data analysis