Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles

Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles

Abstract Machine learning (ML) has increasingly been used to assist and expand current practices in neuropathology. However, generating large imaging datasets with quality labels is challenging in fields which demand high levels of expertise. Further complicating matters is the often seen disagreeme...

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Bibliographic Details
Main Authors: Juan C. Vizcarra, Thomas M. Pearce, Brittany N. Dugger, Michael J. Keiser, Marla Gearing, John F. Crary, Evan J. Kiely, Meaghan Morris, Bartholomew White, Jonathan D. Glass, Kurt Farrell, David A. Gutman
Format: Article
Language:English
Published: BMC 2023-12-01
Series:Acta Neuropathologica Communications
Subjects:
Neuropathology
Machine learning
Model-assisted-labeling
Alzheimer’s disease
Neurofibrillary tangles
Braak NFT staging
Online Access:https://doi.org/10.1186/s40478-023-01691-x

Internet

https://doi.org/10.1186/s40478-023-01691-x

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