Deep learning‐based model for diagnosing Alzheimer's disease and tauopathies

Aims This study aimed to develop a deep learning‐based model for differentiating tauopathies, including Alzheimer's disease (AD), progressive supranuclear palsy (PSP), corticobasal degeneration (CBD) and Pick's disease (PiD), based on tau‐immunostained digital slide images. Methods We trai...

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Veröffentlicht in:	Neuropathology and applied neurobiology Jg. 48; H. 1; S. e12759 - n/a
Hauptverfasser:	Koga, Shunsuke, Ikeda, Akihiro, Dickson, Dennis W.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Wiley Subscription Services, Inc 01.02.2022 John Wiley and Sons Inc
Schlagworte:	Alzheimer Disease - diagnosis Alzheimer Disease - pathology Alzheimer's disease Astrocytes Caudate nucleus Cortex (motor) corticobasal degeneration Decision making Deep Learning Degeneration Frontal gyrus Humans machine learning Neurodegenerative diseases Niemann-Pick disease object detection Original Paralysis Pick Disease of the Brain - pathology Pick's disease Progressive supranuclear palsy random forest classifier Senile plaques Supranuclear Palsy, Progressive - pathology Tau protein tau Proteins Tauopathies - diagnosis Tauopathies - pathology Pick's disease random forest classifier corticobasal degeneration object detection machine learning Alzheimer's disease progressive supranuclear palsy
ISSN:	0305-1846, 1365-2990, 1365-2990
Online-Zugang:	Volltext
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