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1 Ergebnisse
1
XVAE-mViT: Explinable Hybrid Artificial Intelligence Framew..:
, In:
2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
,
Addo, Daniel
;
Al-antari, Mugahed A.
;
Zhou, Shijie
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ISMSIT58785.2023.10304963
RT T1 <cTitle>2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)</cTitle>: T1 <Title>XVAE-mViT: Explinable Hybrid Artificial Intelligence Framework for Predicting COVID-19 from Chest X-Ray and CT Scans</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10304963&Exemplar=1&LAN=DE A1 Addo, Daniel A1 Al-antari, Mugahed A. A1 Zhou, Shijie A1 Sarpong, Kwabena A1 Butun, Ertan A1 Talo, Muhammed A1 AbuAlkebash, Humam A1 Ukwuoma, Chiagoziem C. YR 2023 SN 2770-7962 K1 COVID-19 K1 Solid modeling K1 Convolution K1 Computed tomography K1 Transformers K1 Feature extraction K1 Kernel K1 COVID-19 Diagnosis K1 Vision Transformer K1 Variational Auto-Encoder K1 Artificial Intelligence SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISMSIT58785.2023.10304963 DO https://doi.org/10.1109/ISMSIT58785.2023.10304963 SF ELIB - SuUB Bremen
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