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Integrating Deep Learning and Graph Neural Networks for Mul..:

, In: 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS),

B, Pushpa ; Gomathi, R. ; Harshavardhana, C.N.... - p. 346-352 , 2023

Link: https://doi.org/10.1109/ICSSAS57918.2023.10331691

RT 
T1 <cTitle>2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)</cTitle>: T1 <Title>Integrating Deep Learning and Graph Neural Networks for Multimodal Lung Tumor Analysis: A Novel Approach for Improved Classification and Predict</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10331691&Exemplar=1&LAN=DE
				
A1 B, Pushpa
A1 Gomathi, R.
A1 Harshavardhana, C.N.
A1 Reddy, P.Siva Kota
A1 Kumar, Davinder
A1 Pundir, Aditya Kumar Singh
YR 2023
K1 Deep learning
K1 Analytical models
K1 Lung cancer
K1 Lung
K1 Predictive models
K1 Feature extraction
K1 Graph neural networks
K1 lung cancer detection
K1 deep learning
K1 graph neural networks
K1 multimodal data
K1 CT scans
K1 convolutional neural network
K1 spatial relationships
K1 functional connections
K1 GNN model
K1 attention mechanisms
K1 node importance measures
SP 346
OP 352
LK http://dx.doi.org/https://doi.org/10.1109/ICSSAS57918.2023.10331691
DO https://doi.org/10.1109/ICSSAS57918.2023.10331691
SF ELIB - SuUB Bremen

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