Differentiation of Recurrence from Radiation Necrosis in Gliomas Based on the Radiomics of Combinational Features and Multimodality MRI Images.

Quan Zhang Jianyun CaoJunde ZhangJunguo BuYuwei YuYujing TanQianjin Feng Meiyan Huang

Published in: Computational and mathematical methods in medicine (2019)

Handcrafted and deep features extracted from multimodality MRI images reflecting the heterogeneity of gliomas can provide useful information for glioma necrosis/recurrence classification.

Keyphrases

deep learning
contrast enhanced
high grade
magnetic resonance imaging
convolutional neural network
free survival
diffusion weighted imaging
optical coherence tomography
machine learning
magnetic resonance
computed tomography
single cell
lymph node metastasis
health information
radiation therapy