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Predicting Dementia Severity by Merging Anatomical and Diffusion MRI with Deep 3D Convolutional Neural Networks

2022-08-22

Abstract excerpt

Machine learning methods have been used for over a decade for staging and subtyping a variety of brain diseases, offering fast and objective methods to classify neurodegenerative diseases such as Alzheimer’s disease (AD). Deep learning models based on convolutional neural networks (CNNs) have also been used to infer dementia severity and predict future clinical decline. Most CNN-based deep learning models use T1-w...

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Literature Corpus work
665586c0-0bdc-54c1-bafc-ea864ee12144
DOI
10.1101/2022.08.22.504801
Open publication

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Predicting Dementia Severity by Merging Anatomical and Diffusion MRI with Deep 3D Convolutional Neural NetworksDOI 10.1101/2022.08.22.504801
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