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1 Ergebnisse
1
Pre-Trained Deep Convolutional Neural Network Architectures..:
, In:
2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA)
,
Ben Ammar, Marwa
;
Ayechi, Faten Labbene
;
Ksantini, Riadh
. - p. 1-7 , 2023
Link:
https://doi.org/10.1109/INISTA59065.2023.10310612
RT T1 <cTitle>2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA)</cTitle>: T1 <Title>Pre-Trained Deep Convolutional Neural Network Architectures for Breast Cancer Diagnosis in Mammography: Current State-Of-The-Art</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10310612&Exemplar=1&LAN=DE A1 Ben Ammar, Marwa A1 Ayechi, Faten Labbene A1 Ksantini, Riadh A1 Mahjoubi, Halima YR 2023 SN 2768-7295 K1 Surveys K1 Training K1 Technological innovation K1 Transfer learning K1 Training data K1 Feature extraction K1 Breast cancer K1 Breast Cancer K1 Early Diagnosis K1 Computer-Aided Diagnosis (CAD) K1 Deep Learning (DL) K1 Convolutional Neural Networks (CNNs) K1 Mammography K1 Transfer Learning (TL) K1 Limited Data K1 Pre-Trained Models K1 Overfitting K1 Medical Imaging SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/INISTA59065.2023.10310612 DO https://doi.org/10.1109/INISTA59065.2023.10310612 SF ELIB - SuUB Bremen
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