Denouements of machine learning and multimodal diagnostic classification of Alzheimer's disease
Alzheimer's disease (AD) is the most common type of dementia. The exact cause and
treatment of the disease are still unknown. Different neuroimaging modalities, such as …
treatment of the disease are still unknown. Different neuroimaging modalities, such as …
Waste clearance in the brain and neuroinflammation: a novel perspective on biomarker and drug target discovery in Alzheimer's disease
K Uchida - Cells, 2022 - mdpi.com
Alzheimer's disease (AD) is a multifactorial disease with a heterogeneous etiology. The
pathology of Alzheimer's disease is characterized by amyloid-beta and …
pathology of Alzheimer's disease is characterized by amyloid-beta and …
Multimodal analysis of functional and structural disconnection in A lzheimer's disease using multiple kernel SVM
Alzheimer's disease (AD) patients exhibit alterations in the functional connectivity between
spatially segregated brain regions which may be related to both local gray matter (GM) …
spatially segregated brain regions which may be related to both local gray matter (GM) …
Alzheimer's disease diagnosis from diffusion tensor images using convolutional neural networks
Machine learning algorithms are currently being implemented in an escalating manner to
classify and/or predict the onset of some neurodegenerative diseases; including Alzheimer's …
classify and/or predict the onset of some neurodegenerative diseases; including Alzheimer's …
Predicting prodromal Alzheimer's disease in subjects with mild cognitive impairment using machine learning classification of multimodal multicenter diffusion‐tensor …
ABSTRACT BACKGROUND Alzheimer's disease (AD) patients show early changes in white
matter (WM) structural integrity. We studied the use of diffusion tensor imaging (DTI) in …
matter (WM) structural integrity. We studied the use of diffusion tensor imaging (DTI) in …
Detecting Alzheimer's disease on small dataset: a knowledge transfer perspective
W Li, Y Zhao, X Chen, Y Xiao… - IEEE journal of biomedical …, 2018 - ieeexplore.ieee.org
Computer-aided diagnosis (CAD) is an attractive topic in Alzheimer's disease (AD) research.
Many algorithms are based on a relatively large training dataset. However, small hospitals …
Many algorithms are based on a relatively large training dataset. However, small hospitals …
An Ensemble‐of‐Classifiers Based Approach for Early Diagnosis of Alzheimer's Disease: Classification Using Structural Features of Brain Images
S Farhan, MA Fahiem, H Tauseef - … and mathematical methods …, 2014 - Wiley Online Library
Structural brain imaging is playing a vital role in identification of changes that occur in brain
associated with Alzheimer's disease. This paper proposes an automated image processing …
associated with Alzheimer's disease. This paper proposes an automated image processing …
[PDF][PDF] Features of the superficial white matter as biomarkers for the detection of Alzheimer's disease and mild cognitive impairment: A diffusion tensor imaging study
Background With the development of medical imaging and processing tools, accurate
diagnosis of diseases has been made possible by intelligent systems. Owing to the …
diagnosis of diseases has been made possible by intelligent systems. Owing to the …
Identification of Alzheimer's disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine
J Kim, B Lee - Human brain mapping, 2018 - Wiley Online Library
Different modalities such as structural MRI, FDG‐PET, and CSF have complementary
information, which is likely to be very useful for diagnosis of AD and MCI. Therefore, it is …
information, which is likely to be very useful for diagnosis of AD and MCI. Therefore, it is …
Speech processing for early Alzheimer disease diagnosis: machine learning based approach
RB Ammar, YB Ayed - 2018 IEEE/ACS 15th International …, 2018 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a neurodegenerative disease characterized by the insidious
onset of cognitive, emotional and language disorders. These attacks are sufficiently intense …
onset of cognitive, emotional and language disorders. These attacks are sufficiently intense …