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1 Ergebnisse
1
A Hybrid CNN-LSTM Network For Brain Tumor Classification Us..:
, In:
2023 9th International Conference on Smart Computing and Communications (ICSCC)
,
Rajeev, S K
;
Rajasekaran, M. Pallikonda
;
Ramaraj, Kottaimalai
... - p. 77-82 , 2023
Link:
https://doi.org/10.1109/ICSCC59169.2023.10335082
RT T1 <cTitle>2023 9th International Conference on Smart Computing and Communications (ICSCC)</cTitle>: T1 <Title>A Hybrid CNN-LSTM Network For Brain Tumor Classification Using Transfer Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10335082&Exemplar=1&LAN=DE A1 Rajeev, S K A1 Rajasekaran, M. Pallikonda A1 Ramaraj, Kottaimalai A1 Vishnuvarthanan, G. A1 Arunprasath, T. A1 Muneeswaran, V. YR 2023 K1 Deep learning K1 Analytical models K1 Magnetic resonance imaging K1 Transfer learning K1 Brain modeling K1 Feature extraction K1 Convolutional neural networks K1 Brain Tumor K1 Stochastic Gradient Descent Optimisation (SGDO) K1 Convolution Neural Network (CNN) K1 Long Short Term Memory (LSTM) K1 Magnetic Resonance Imaging (MRI) SP 77 OP 82 LK http://dx.doi.org/https://doi.org/10.1109/ICSCC59169.2023.10335082 DO https://doi.org/10.1109/ICSCC59169.2023.10335082 SF ELIB - SuUB Bremen
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