Article

Sensitive quantification of cerebellar speech abnormalities using deep learning models

2023-04-04

Abstract excerpt

<h4>Objective</h4> <h4>Objective: </h4> , sensitive, and meaningful disease assessments are critical to support clinical trials and clinical care. Speech changes are one of the earliest and most evident manifestations of cerebellar ataxias. The purpose of this work is to develop models that can accurately identify and quantify these abnormalities. <h4>Methods</h4> We use deep learning models such as ResNet 18 , th...

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Literature Corpus work: deabe7f8-9242-5de9-8f09-00d28c24d298
DOI: 10.1101/2023.04.03.23288094

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