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
artificial intelligence
computed tomography
machine learning
risk assessment
climate change
combination therapy
human health