A functional artificial neural network for noninvasive pretreatment evaluation of glioblastoma patients.

Eric ZanderAndrew ArdeleanuRyan SingletonBarnabas BedeYilin WuShuhua Zheng

Published in: Neuro-oncology advances (2021)

Quantifiable image features can significantly improve the ability of ANNs to identify a GBM patients' survival cohort. Features such as clinical measures, genetic data, and image data, can be integrated into a single ANN for GBM pretreatment evaluation.

Keyphrases

end stage renal disease
neural network
ejection fraction
newly diagnosed
chronic kidney disease
prognostic factors
deep learning
gene expression
patient reported outcomes
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