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