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eTSC-Net: A Parameter-efficient Convolutional Neural Network for Drug Treatment Outcome Studies of Pediatric Epilepsy

2022-12-09

Abstract excerpt

<h4>Background: </h4> Ability to predict the outcomes of pharmacological treatment of epilepsy in pediatric patients with tuberous sclerosis complex (TSC) can confer a distinct leverage and guide therapeutic decision-making. Multi-contrast magnetic resonance imaging (MRI) is routinely used for diagnosis of TSC by pediatricians. We propose a parameter-efficient convolutional neural network with multi-contrast image...

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Literature Corpus work
ec5509ac-5501-53ce-87f3-e9b4cc968b05
DOI
10.21203/rs.3.rs-2024294/v1
Open publication

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eTSC-Net: A Parameter-efficient Convolutional Neural Network for Drug Treatment Outcome Studies of Pediatric EpilepsyDOI 10.21203/rs.3.rs-2024294/v1
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