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On Improving Malaria Parasite Detection from Microscopic Im..:
, In:
2023 11th International Conference on Information and Communication Technology (ICoICT)
,
Dev, Antora
;
Fouda, Mostafa M.
;
Kerby, Leslie
. - p. 417-422 , 2023
Link:
https://doi.org/10.1109/ICoICT58202.2023.10262467
RT T1 <cTitle>2023 11th International Conference on Information and Communication Technology (ICoICT)</cTitle>: T1 <Title>On Improving Malaria Parasite Detection from Microscopic Images: A Comparative Analytics of Hybrid Deep Learning Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10262467&Exemplar=1&LAN=DE A1 Dev, Antora A1 Fouda, Mostafa M. A1 Kerby, Leslie A1 Fadlullah, Zubair Md YR 2023 SN 2162-1241 K1 Training K1 Recurrent neural networks K1 Error analysis K1 Computational modeling K1 Biological system modeling K1 Microscopy K1 Point of care K1 Malaria detection K1 Classification K1 Deep learning K1 CNN-RNN K1 Image recognition SP 417 OP 422 LK http://dx.doi.org/https://doi.org/10.1109/ICoICT58202.2023.10262467 DO https://doi.org/10.1109/ICoICT58202.2023.10262467 SF ELIB - SuUB Bremen
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