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Multiscale low-level feature fused multilayer convolution n..:

, In: 8th International Conference on Computing in Engineering and Technology (ICCET 2023),

Tripathy, S. K. ; Singh, D. ; Srivastava, S.. - p. None , 2023

Link: https://doi.org/10.1049/icp.2023.1534

RT 
T1 <cTitle>8th International Conference on Computing in Engineering and Technology (ICCET 2023)</cTitle>: T1 <Title>Multiscale low-level feature fused multilayer convolution neural network for Alzheimer's disease detection</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10235804&Exemplar=1&LAN=DE
				
A1 Tripathy, S. K.
A1 Singh, D.
A1 Srivastava, S.
A1 Srivastava, R.
YR 2023
K1 biomedical MRI
K1 convolutional neural nets
K1 deep learning (artificial intelligence)
K1 diseases
K1 feature extraction
K1 image classification
K1 learning (artificial intelligence)
K1 medical image processing
K1 neurophysiology
K1 acute neurological disorder
K1 AD detection
K1 AD disease
K1 AI-based solutions
K1 alzheimer
K1 convolutional neural networks
K1 deep learning techniques
K1 fine-grained features
K1 fine-grained object-level features
K1 high-level feature extraction module
K1 MRI images
K1 multilayer convolution neural network
K1 multiscale features
K1 multiscale low-level feature extraction module
K1 novel multiscale low-level feature-fused multilayer convolutional neural network
K1 publicly available MRI image-based AD dataset
K1 scale-invariant features
K1 transfer learning techniques
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.1534
DO https://doi.org/10.1049/icp.2023.1534
SF ELIB - SuUB Bremen

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