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A Scalable High Throughput Fully Automated Pipeline for the Quantification of Amyloid Pathology in Alzheimer’s Disease using Deep Learning Algorithms

2023-05-22

Abstract excerpt

The most common approach to characterize neuropathology in Alzheimer’s disease (AD) involves a manual survey and inspection by an expert neuropathologist of postmortem tissue that has been immunolabeled to visualize the presence of amyloid β in plaques and around blood vessels and neurofibrillary tangles of the tau protein. In the case of amyloid β pathology, a semiquantitative score is given that is based on area...

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Literature Corpus work
df3662ba-233a-5812-abcb-2faaca611b04
DOI
10.1101/2023.05.19.541376
Open publication

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A Scalable High Throughput Fully Automated Pipeline for the Quantification of Amyloid Pathology in Alzheimer’s Disease using Deep Learning AlgorithmsDOI 10.1101/2023.05.19.541376
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