Convolutional neural network-aided tuber segmentation in tuberous sclerosis complex patients correlates with electroencephalogram.

David K Park WooJoong KimOlivia S ThornburgDanielle K McBrianGuy M McKhannNeil A FeldsteinAlexis B MaddocksElena GonzalezMin Y ShenCigdem AkmanFrank A Provenzano

Published in: Epilepsia (2022)

We have proven the feasibility of an automatic segmentation of tubers and a derivation of tuber burden across brain lobes. Our method may provide crucial insights regarding the treatment and outcome of TSC patients.

Keyphrases

convolutional neural network
deep learning
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
prognostic factors
machine learning
white matter
risk factors
brain injury