Feasibility of deep learning-based tumor segmentation for target delineation and response assessment in grade-4 glioma using multi-parametric MRI.

Marianne H HannisdalDorota GoplenSaruar AlamJudit HaaszLeif OltedalMohummad A RahmanCecilie Brekke RyghStein Atle LieArvid LundervoldMartha Chekenya

Published in: Neuro-oncology advances (2023)

HD-GLIO was feasible for RT target delineation and MRI tumor volume assessment. CE/NE tumor-compartment growth correlation showed potential to predict clinical response to treatment.

Keyphrases

deep learning
magnetic resonance imaging
contrast enhanced
convolutional neural network
computed tomography
artificial intelligence
machine learning
combination therapy