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Enhancing Maternofetal Ultrasound Images Toward Boosting Cl..:
, In:
2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA)
,
Ghabri, Haifa
;
Fathallah, Wyssem
;
Sakli, Hedi
. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/INISTA59065.2023.10310548
RT T1
2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA)
: T1
Enhancing Maternofetal Ultrasound Images Toward Boosting Classification Performance on a Diverse and Comprehensive Data
UL https://suche.suub.uni-bremen.de/peid=ieee-10310548&Exemplar=1&LAN=DE A1 Ghabri, Haifa A1 Fathallah, Wyssem A1 Sakli, Hedi A1 Abdelkarim, Mohamed Naceur YR 2023 SN 2768-7295 K1 Technological innovation K1 Ultrasonic imaging K1 Transfer learning K1 Image preprocessing K1 Convolutional neural networks K1 Medical diagnosis K1 Task analysis K1 Maternofetal Ultrasound images K1 Images enhancement K1 CLAHE and Unsharp K1 Deep learning K1 CNN architecture SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/INISTA59065.2023.10310548 DO https://doi.org/10.1109/INISTA59065.2023.10310548 SF ELIB - SuUB Bremen
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