Automatic classification of focal liver lesions based on MRI and risk factors.

Mariëlle J A Jansen Hugo J KuijfWouter B VeldhuisFrank J WesselsMax A ViergeverJosien P W Pluim

Published in: PloS one (2019)

The proposed classification system using features derived from clinical DCE-MR and T2-weighted images, with additional risk factors is able to differentiate five common types of lesions and is a step forward to a clinically useful aid for focal liver lesion diagnosis.

Keyphrases

risk factors
contrast enhanced
deep learning
magnetic resonance imaging
magnetic resonance
machine learning
computed tomography
diffusion weighted imaging
convolutional neural network