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Using Deep Learning to Determine Amyloid Deposition through PET and Clinical Data for Alzheimer’s Prognosis

2022-10-05

Abstract excerpt

Amyloid deposition is a vital biomarker in the process of Alzheimer’s diagnosis. Florbetapir PET scans can provide valuable imaging data to determine cortical amyloid quantities. However the process is labor and doctor intensive, requiring extremely specialized education and resources that may not be accessible to everyone, making the amyloid calculation process inefficient. Deep learning is a rising tool in Alzhe...

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Literature Corpus work
70c28fa9-a071-5ef8-a5bc-76d871837e0f
DOI
10.1101/2022.10.04.22280712
Open publication

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Using Deep Learning to Determine Amyloid Deposition through PET and Clinical Data for Alzheimer’s PrognosisDOI 10.1101/2022.10.04.22280712
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