Article

Predicting the Gene Status and Survival Outcome of Lower Grade Glioma Patients With Multimodal MRI Features

2019-01-01

Abstract excerpt

We propose a novel class of multimodal image features based on the joint intensity matrix (JIM) to model fine-grained texture signatures in the radiomic analysis of lower grade glioma (LGG) tumors. Experiments use expanded JIM features to predict the genetic status and the survival outcome of LGG patients with preoperative T1-weighted, T1-weighted post-contrast, fluid attenuation inversion recovery (FLAIR), and T2...

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Literature Corpus work: 91d90aac-4f1e-5e25-8d21-de5e99188974
DOI: 10.1109/access.2019.2920396

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