Prognostic risk stratification of gliomas using deep learning in digital pathology images.

Pranathi ChunduruJoanna J PhillipsAnnette M Molinaro

Published in: Neuro-oncology advances (2022)

The present study highlights the independent prognostic power of the SDL risk score for objective and accurate prediction of glioma outcomes. Further, we show that the RPA delineation of patient-specific risk scores and clinical prognostic factors can successfully demarcate the OS of glioma patients.

Keyphrases

prognostic factors
deep learning
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
convolutional neural network
high grade
type diabetes
high resolution
metabolic syndrome
optical coherence tomography
peritoneal dialysis
skeletal muscle
insulin resistance