Alzheimer’s disease multiclass detection through deep learning models and post-processing heuristics

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Alzheimer’s disease multiclass detection through deep learning models and post-processing heuristics

Alzheimer’s disease (AD) significantly impacts millions globally, causing progressive memory loss and cognitive decline. While a cure remains elusive, early detection can mitigate effects and improve quality of life. Recent AD research has shown promise using deep learning algorithms on brain MRI im...

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Bibliografiska uppgifter
Huvudupphovsmän:	Rani Ghassan Al Rahbani, Anastasia Ioannou, Tao Wang
Materialtyp:	Artikel
Språk:	engelska
Publicerad:	Taylor & Francis Group 2024-12-01
Serie:	Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
Ämnen:	Alzheimer disease machine learning deep learning EfficientNet ResNet post processing
Länkar:	https://www.tandfonline.com/doi/10.1080/21681163.2024.2383219
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!

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