Application of deep learning for prediction of alzheimer's disease in PET/MR imaging
Y Zhao, Q Guo, Y Zhang, J Zheng, Y Yang, X Du… - Bioengineering, 2023 - mdpi.com
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects millions of
people worldwide. Positron emission tomography/magnetic resonance (PET/MR) imaging is …
people worldwide. Positron emission tomography/magnetic resonance (PET/MR) imaging is …
Deep learning in medicine: Advancing healthcare with intelligent solutions and the future of holography imaging in early diagnosis
Deep Learning (DL) is currently transforming health services by significantly improving early
cancer diagnosis, drug discovery, protein–protein interaction analysis, and gene editing …
cancer diagnosis, drug discovery, protein–protein interaction analysis, and gene editing …
Deep learning application for the classification of Alzheimer's disease using 18F-flortaucipir (AV-1451) tau positron emission tomography
The positron emission tomography (PET) with 18F-flortaucipir can distinguish individuals
with mild cognitive impairment (MCI) and Alzheimer's disease (AD) from cognitively …
with mild cognitive impairment (MCI) and Alzheimer's disease (AD) from cognitively …
A survey of biological data in a big data perspective
The amount of available data is continuously growing. This phenomenon promotes a new
concept, named big data. The highlight technologies related to big data are cloud computing …
concept, named big data. The highlight technologies related to big data are cloud computing …
Multimodal 3D Deep Learning for Early Diagnosis of Alzheimer's Disease
Alzheimer's disease (AD) is a neurodegenerative disease that affects the elderly and leads
to cognitive decline and memory loss. Treatments for stopping or slowing the progression of …
to cognitive decline and memory loss. Treatments for stopping or slowing the progression of …
A review of the flortaucipir literature for positron emission tomography imaging of tau neurofibrillary tangles
Alzheimer's disease is defined by the presence of β-amyloid plaques and neurofibrillary tau
tangles potentially preceding clinical symptoms by many years. Previously only detectable …
tangles potentially preceding clinical symptoms by many years. Previously only detectable …
Improved interpretation of 18F-florzolotau PET in progressive supranuclear palsy using a normalization-free deep-learning classifier
While 18 F-florzolotau tau PET is an emerging biomarker for progressive supranuclear palsy
(PSP), its interpretation has been hindered by a lack of consensus on visual reading and …
(PSP), its interpretation has been hindered by a lack of consensus on visual reading and …
[HTML][HTML] Advancing Tau-PET quantification in Alzheimer's disease with machine learning: introducing THETA, a novel tau summary measure
RK Gebre, AM Rial, S Raghavan, HJ Wiste… - Research …, 2023 - ncbi.nlm.nih.gov
Alzheimer's disease (AD) exhibits spatially heterogeneous 3R/4R tau pathology distributions
across participants, making it a challenge to quantify extent of tau deposition. Utilizing Tau …
across participants, making it a challenge to quantify extent of tau deposition. Utilizing Tau …
Perspective Chapter: Health Risk
With accelerated technologies, different kinds of health technology devices have been
provided to customers that continuously record bio and vital signals. Some of these products …
provided to customers that continuously record bio and vital signals. Some of these products …
[PDF][PDF] Deep learning methods for PET imaging with tau tracers in the diagnosis of Alzheimer's disease
A Arnold - 2024 - research-collection.ethz.ch
Alzheimer's disease research is a pressing concern in the field of neurology and public
health. Alzheimer's disease is a progressive and irreversible neurological disorder [1],[2] …
health. Alzheimer's disease is a progressive and irreversible neurological disorder [1],[2] …