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Descriptor English: Convolutional Neural Networks
Descriptor Spanish: Redes Neuronales Convolucionales
Descriptor Portuguese: Redes Neurais Convolucionais
Descriptor French: Without translation
Entry term(s): AlexNet
Convolutional Neural Network
DenseNet
Densely Connected Convolutional Networks
EfficientNet
GoogLeNet
GoogLeNets
LeNet
LeNet 5 Convolutional Neural Network
LeNet-5 Convolutional Neural Network
MobileNets
Neural Network, Convolutional
Neural Network, Residual
ResNets
Residual Neural Network
Residual Neural Networks
VGGNet
VGGNets
Visual Geometry Group Network
ZFNet
ZFNets
Tree number(s): G17.485.250
L01.224.050.375.605.250
RDF Unique Identifier: https://id.nlm.nih.gov/mesh/D000098415
Scope note: Artificial neural networks designed to automatically learn features through the use of sequence of layers which transform one volume to the next. Convolutional neural networks initially produce a feature map by use of convolution layers consisting of a set of learnable filters convolved with input, i.e., having smaller widths and heights and the same depth as that of input volume.
Allowable Qualifiers: CL classification
EC economics
ES ethics
HI history
LJ legislation & jurisprudence
SD supply & distribution
SN statistics & numerical data
ST standards
TD trends
Previous Indexing: Neural Networks, Computer (2005-2024)
Public MeSH Note: 2025
History Note: 2025
DeCS ID: 60813
Unique ID: D000098415
Documents indexed in the Virtual Health Library (VHL): Click here to access the VHL documents
Date Established: 2025/01/01
Date of Entry: 2024/08/09
Revision Date: 2023/11/03
Convolutional Neural Networks - Preferred
Concept UI M000766634
Scope note Artificial neural networks designed to automatically learn features through the use of sequence of layers which transform one volume to the next. Convolutional neural networks initially produce a feature map by use of convolution layers consisting of a set of learnable filters convolved with input, i.e., having smaller widths and heights and the same depth as that of input volume.
Preferred term Convolutional Neural Networks
Entry term(s) Convolutional Neural Network
Neural Network, Convolutional
LeNet-5 Convolutional Neural Network - Narrower
Concept UI M000766635
Preferred term LeNet-5 Convolutional Neural Network
Entry term(s) LeNet
LeNet 5 Convolutional Neural Network
AlexNet - Narrower
Concept UI M000766636
Preferred term AlexNet
VGGNet - Narrower
Concept UI M000766637
Preferred term VGGNet
Entry term(s) VGGNets
Visual Geometry Group Network
ZFNet - Narrower
Concept UI M000766638
Preferred term ZFNet
Entry term(s) ZFNets
GoogLeNet - Narrower
Concept UI M000766639
Preferred term GoogLeNet
Entry term(s) GoogLeNets
MobileNets - Narrower
Concept UI M000766640
Preferred term MobileNets
Residual Neural Network - Narrower
Concept UI M000766641
Preferred term Residual Neural Network
Entry term(s) Neural Network, Residual
ResNets
Residual Neural Networks
EfficientNet - Narrower
Concept UI M000766642
Preferred term EfficientNet
Densely Connected Convolutional Networks - Narrower
Concept UI M000766643
Preferred term Densely Connected Convolutional Networks
Entry term(s) DenseNet



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