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An empirical investigation of deep transfer learning approa..:
, In:
2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)
,
Folorunso, Sakinat Oluwabukonla
;
Adeniyi, Abidemi Emmanuel
;
Ogundele, Lukman Adebayo
... - p. 1-8 , 2024
Link:
https://doi.org/10.1109/ASSIC60049.2024.10507951
RT T1
2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)
: T1
An empirical investigation of deep transfer learning approach to automatic detection of coronavirus disease (COVID-19) in CT images
UL https://suche.suub.uni-bremen.de/peid=ieee-10507951&Exemplar=1&LAN=DE A1 Folorunso, Sakinat Oluwabukonla A1 Adeniyi, Abidemi Emmanuel A1 Ogundele, Lukman Adebayo A1 AWOTUNDE, Joseph Bamidele A1 BRAHMA, Biswajit A1 Bhoi, Akash Kumar YR 2024 K1 COVID-19 K1 Visualization K1 Pneumonia K1 Computed tomography K1 Transfer learning K1 Feature extraction K1 Data models K1 Coronavirus disease K1 Deep feature extraction SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/ASSIC60049.2024.10507951 DO https://doi.org/10.1109/ASSIC60049.2024.10507951 SF ELIB - SuUB Bremen
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