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Reviewing the Landscape of Deep Learning Approaches for Bre..:

, In: 2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS),

Maiti, Souvik ; Juneja, Sonam ; Goyal, Reema. - p. 193-199 , 2023

Link: https://doi.org/10.1109/ICCCIS60361.2023.10425219

RT 
T1 <cTitle>2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)</cTitle>: T1 <Title>Reviewing the Landscape of Deep Learning Approaches for Breast Cancer Detection</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10425219&Exemplar=1&LAN=DE
				
A1 Maiti, Souvik
A1 Juneja, Sonam
A1 Goyal, Reema
A1 Chaudhry, Navneet
YR 2023
K1 Deep learning
K1 Image synthesis
K1 Predictive models
K1 Feature extraction
K1 Breast cancer
K1 Prognostics and health management
K1 Medical diagnostic imaging
K1 Deep Learning
K1 Breast Cancer
K1 Artificial Intelligence
K1 Convolutional neural networks
K1 Area Under the ROC Curve
K1 K Nearest Neighbour
K1 Artificial Neural Network
K1 Empirical Wavelet Transform (EWT)
K1 Multilayer Perceptron
K1 Support Vector Machine
K1 Variational Mode Decomposition
K1 Recurrent Neural Networks
SP 193
OP 199
LK http://dx.doi.org/https://doi.org/10.1109/ICCCIS60361.2023.10425219
DO https://doi.org/10.1109/ICCCIS60361.2023.10425219
SF ELIB - SuUB Bremen

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